AI, Cloud and Cybersecurity Open New Opportunities for Integrators

AI, Cloud and Cybersecurity Open New Opportunities for Integrators 

I was recently asked which technologies are going to have the most significant impact on the physical security industry in the next few years. With the rapid pace of change in technology today, there is no simple answer to this question.

One thing that is certain is that companies are under pressure to become more efficient, secure and operationally aware. That, in turn, is driving the need for real-time data capturing and processing from every part of their business, including security.

We are just beginning to see how emerging technologies and concepts such as artificial intelligence (AI), Cloud computing and cybersecurity are impacting our industry. As companies plan for the future, budgets are increasingly focused on innovative solutions that can help to process the growing amount of data being captured and consumed.

Manufacturers and systems integrators that understand this shift have been quick to identify opportunities to win new business through the introduction of value-added applications or new services capable of generating recurring monthly revenue.

We explore some of those technologies and opportunities below.

Artificial intelligence and analytics

AI analytics is the product of automating data analysis—a traditionally time-consuming and people-intensive task—using the power of today's artificial intelligence and machine learning technologies.

AI analytics refers to a subset of business intelligence that uses machine learning techniques to discover insights, find new patterns and discover relationships in the data. In practice, AI analytics is the process of automating much of the work that a data analyst would normally perform.

Customers are looking to AI and data analytics to gain better insight into their operations. These offerings can enable security-related intelligence or operational and customer insights. The key to AI is self-learning algorithms that, over time, get better at identifying certain targeted behaviors or transactions and reducing false positives.

We have also begun to see several chip manufacturers introduce next generation processors with AI built into the core firmware. As a result, systems integrators can expect to see many product innovations in 2018 focused on advanced video analytics, data integrations and application software.

The challenge for their customers will be clearly defining which data is most valuable to them, who will have access to it, and how to best manage it. Systems integrators can play a key role in this process by having those discussions with customers up front and encouraging a proof-of-concept phase before fully rollouts are undertaken.

 

Cloud-based services

Cloud based services provide information technology (IT) as a service over the Internet or dedicated network, with delivery on demand, and payment based on usage. Cloud based services range from full applications and development platforms, to servers, storage, and virtual desktops.

In addition to AI and data analytics capabilities, we are seeing demand from customers for Security-as-a-Service (SaaS) offerings. The combination of low, upfront capital costs and outsourced services has made Cloud-based video and access control popular, especially in the hospitality and small-to-medium enterprise markets. Examples of SaaS cloud service providers include Dropbox, G Suite, Microsoft Office 365, and Slack. In each of these applications, users can access, share, store, and secure information in “the cloud.”

As technology providers add more sophisticated applications and services to further drive customer insight and efficiencies, expect enterprise retail customers to begin moving to this model as well in 2018. For systems integrators, SaaS solutions can represent a recurring revenue stream and a great opportunity to generate new business.

 

Cybersecurity impacts

Cyber attacks can cause electrical blackouts, failure of military equipment, and breaches of national security secrets. They can result in the theft of valuable, sensitive data like medical records. They can disrupt phone and computer networks or paralyze systems, making data unavailable.

Cybersecurity is crucial because it safeguards all types of data against theft and loss. Sensitive data, protected health information (PHI), personally identifiable information (PII), intellectual property, personal information, data, and government and business information systems are all included.

The sheer scope and size of the data breaches we saw in 2017 – Equifax being one of the most notable – has heightened concerns over cyber-preparedness. Increasingly, customers are evaluating their own level of cybersecurity preparedness, as well as that of their suppliers.

There’s no doubt that our industry is taking cybersecurity seriously, however there is still work to be done, and both systems integrators and their manufacturer partners need to be prepared. Information technology (IT) departments will continue to play an expanded role in approving products for deployment on corporate networks. The use of third-party cybersecurity audits will also become more commonplace, which will significantly impact how products are developed and deployed.

In addition to ensuring that their products are secure, manufacturers and system integrators will also need to improve their own organizational security. For video solution providers, that could mean demonstrating how they protect their software code and architect their software, and how compliant their solutions are with data privacy standards in North America and globally.

The need to bolster cyber defenses will also create demand for new equipment and software upgrades as the vulnerabilities of customers’ legacy equipment are exposed.

Cybersecurity will be a challenge for some systems integrators, but a great business opportunity for others. Customers will increasingly look for integrators that can meet their cybersecurity standards and possibly pass a cyber audit. If there’s a weak link in the chain – from product design to installation or service – then everyone loses. System Integrators know major China manufacturers like Dahua, Hikvision, Uniview are not impacted, from everything we have seen. We executed the proof of concept code from the disclosure on multiple devices and were unable to gain access using the backdoor. The backdoor primarily impacts devices using HiSilicon SOC with Xiongmai software, which is dozens of small OEM manufacturers, using minimally modified OEM firmware, Open Source OS and drivers, and enabling telnet on port 9530.

So it’s important that integrators and manufacturers work closely together and ensure that they share the same high cybersecurity standards. Integrators should also demand that their manufacturer partners be diligent about educating them on products and keeping software up to date to reduce potential vulnerabilities.

 

Knowing your market

Many of today’s leading system integrators have begun investing in the additional resources needed to educate staff and align their organizations so they can successfully adopt and provide these new capabilities to their customers.

It’s important that your organization have conversations with both your end user customers and your technology providers so you can take advantage of new opportunities while also helping to clarify what’s possible today and what’s still on the horizon.

As integrators move from equipment sales to consultative solution sales, it is important to understand the unique business problems of the customers in your target market. While this concept is not new, a growing number of integrators are putting vertical market initiatives in place to concentrate their expertise.

The top five business challenges of yesterday may no longer be the top five challenges of tomorrow. Integrators need to understand what those unique challenges are for each vertical they play in, and work with manufacturers that can provide proven solutions for specific markets.

Trends at the intersection of video and AI

Trends at the intersection of video and AI 

Installation and use of CCTV Cameras for security & surveillance is a no-brainer. Cameras are considered a fundamental commodity for setting up any surveillance infrastructure, but at the same time, 24×7 monitoring of hundreds or thousands of video feeds by operators doesn’t serve the purpose of providing proactive surveillance and quick response to breaches.

2022, where most security cameras deliver HD performance, with more and more models offering 4K resolution with 8K on the horizon. Advanced processing techniques, with and without the use of infrared illuminators, also provide the ability to capture usable images in total darkness; and mobile devices such as drones, dash cams, body cams, and even cell phones have further expanded the boundaries for video surveillance. Additionally, new cameras feature on-board processing and memory to deliver heightened levels of intelligence at the edge.

But video has evolved beyond the capabilities of advanced imaging and performance to include another level:  Artificial Intelligence. Video imaging technology combines with AI, delivers a wealth of new data, not just for traditional physical security applications, but for a much deeper analysis of past, present, and even future events across the enterprise.

This is more than a big development for the physical security industry; it is a monumental paradigm shift that is changing how security system models are envisioned, designed, and deployed. Much of the heightened demand for advanced video analytics is being driven by six prevalent industry trends:

 

1) Purpose-built performance

Several video analytics technologies have become somewhat commoditised “intelligent” solutions over the past few years, including basic motion and object detection that can be found embedded in even the most inexpensive video cameras. New, more powerful, and intelligent video analytics solutions deliver much higher levels of video understanding.

This is accomplished using purpose-built deep learning, employing advanced algorithms and training input capable of extracting the relevant data and information of specific events of interest defined by the user. This capability powers the automation of two important workflows: the real-time monitoring of hundreds or thousands of live cameras, and the lightning-fast post-event search of recorded video. Vintra video analytics, for example, accomplishes this with proprietary analytics technology that defines multi-class algorithms for specific subject detection, classification, tracking, and re-identification and correlation of subjects and events captured in fixed or mobile video from live or recorded sources.

 

2) Increased security with personal privacy protections

The demand for increased security and personal privacy are almost contradictory given the need to accurately identify threatening and/or known individuals, whether due to criminal activity or the need to locate missing persons. But there is still societal pushback on the use of facial recognition technology to accomplish such tasks, largely surrounding the gathering and storage of Personally Identifiable Information (PII).

The good news is that this can be effectively accomplished with great accuracy without facial recognition, using advanced video analytics that analyse an individual’s whole-body signature based on various visual characteristics rather than a face. This innovative approach provides a fast and highly effective means of locating and identifying individuals without impeding the personal privacy of any individuals captured on live or recorded video.

 

3) Creation and utilisation of computer vision

There are a lot of terminologies used to describe AI-driven video analytics, including machine learning (ML) and deep learning (DL). Machine learning employs algorithms to transform data into mathematical models that a computer can interpret and learn from, and then use to decide or predict. Add the deep learning component, and you effectively expand the machine learning model using artificial neural networks which teach a computer to learn by example.

The combination of layering machine learning and deep learning produces what is now defined as computer vision (CV). A subset but more evolved form of machine learning, computer vision is where the work happens with advanced video analytics. It trains computers to interpret and categorize events much the way humans do to derive meaningful insights such as identifying individuals, objects, and behaviours.

 

4) Increased operational efficiencies

Surveillance systems with a dozen or more cameras are manpower-intensive by nature, requiring continuous live or recorded monitoring to detect and investigate potentially harmful or dangerous situations. Intelligent video analytics, which provides real-time detection, analysis, and notification of events to proactively identify abnormalities and potential threats, transform traditional surveillance systems from reactive to proactive sources of actionable intelligence. In addition to helping better protect people, property, and assets, advanced video analytics can increase productivity and proficiency while reducing overhead.

With AI-powered video analytics, security and surveillance are powered by 24/7 technology that doesn’t require sleep, taking breaks, or calling in sick. This allows security operations to redeploy human capital where it is most needed such as alarm response or crime deterrence. It also allows security professionals to quickly and easily scale operations in new and growing environments.

 

5) A return on security investment

The advent of advanced video analytics is slowly but surely also transforming physical security systems from necessary operational expenses into potential sources of revenue with tangible ROI, or as it is better known in the industry, ROSI – Return on Security Investment. New video analytics provide vast amounts of data for business intelligence across the enterprise. Advanced solutions can do this with extreme cost-efficiency by leveraging an organization’s existing investment in video surveillance systems technology.

This easy migration path and a high degree of cost-efficiency are amplified by the ability to selectively apply purpose-built video analytics at specific camera locations for specific applications. Such enterprise-grade software solutions make existing fixed or mobile video security cameras smarter, vastly improving how organizations and governments can automatically detect, monitor, search for and predict events of interest that may impact physical security, health safety, and business operations. For example, slip-and-fall analysis can be used to identify persons down or prevent future incidents, while building/area occupancy data can be used to limit crowds or comply with occupancy and distancing guidelines. In this way, the data gathered is a valuable asset that can deliver cost and safety efficiencies that manual processes cannot.

 

6) Endless applications

The business intelligence applications for advanced video analytics platforms are virtually endless including production and manufacturing, logistics, workforce management, retail merchandising and employee deployment, and more. This also includes mobile applications utilising dashboard and body-worn cameras, drones, and other forms of robotics for agricultural, oil and gas, transportation, and numerous other outdoor and/or remote applications.
An added benefit is the ability to accommodate live video feeds from smartphones and common web browsers, further extending the application versatility of advanced video analytics.

Indian Army to be equipped with AI-based threat assessment software linked to national databases

The Indian Army will soon get help from artificial intelligence to analyse threats during operations, especially in sensitive areas like Jammu and Kashmir. The ministry of defence is planning to equip the army with an AI-based threat assessment software that can be linked to national databases such as UIDAI and MoRTH.

According to an official communication, this software will be used to “track vehicular movement, monitor online presence of individuals, including on social media platforms, and derive linkages and patterns”.

The software will help the army in tracking and predicting incidents and the reason behind acquiring such a software is that operations require a detailed threat assessment. As of now, details of threat assessment are not available with either security forces or law enforcing agencies but only restricted information is available in the form of registers, both at company operating base (COB) levels and with other headquarters.

“Since the data is either non-existent or is recorded in legacy formats (documents and registers), no methods are available with SF for historic correlation of incidents due to which incidents cannot be tracked or predicted,” the official communication states.

The solution: “an AI-based networked solution that will enable storage and analysis of data to track and predict incidents. Details can be linked with national databases such as UIDAI, MoRTH in order to track vehicular movement, as also monitor online presence of individuals including on social media platforms and derive linkages and patterns”.

The software will have the ability to import data available with other agencies. It will enable central collation of details from various patrols with real-time data visibility at all outstations. According to the MoD, this software will be able to integrate legacy unstructured data available in different formats and provide actionable intelligence by combining different databases through the use of AI and data analytics techniques.

The software application is designed to integrate AI and machine learning (ML) aspects with existing known datasets, thereby giving commanders and staff a comprehensive and common picture with regard to operations intelligence, including the capability to carry out data processing in terms of staff checks, query management, use of business intelligence and visualisation to arrive at a course of actions and also assist in ruling out less viable options.

“As the system is being planned keeping in mind the automation requirements of the Indian Army for intelligence generation, the system will be designed for exploitation by AI and ML aspects,” the MoD said. The software will facilitate display and exchange of information over encrypted and secured internet connection and facilitate day-to-day functioning of operations and intelligence gathering and collating at various headquarters, and also facilitate commanders in decision making by incorporating appropriate inputs.

Adequate security measures will be ensured as per the latest guidelines or policies of army cyber group (ACG) system. It will have NLP (natural language processing) models in English, Hindi, Pashto, Arabic, and Urdu to automatically extract intelligence from generated reports, inputs, open source documents and memos.

It will be capable of conducting video and image analytics for raw camera footage from CCTV cameras, social media videos, images among others. The whole idea is to generate actionable intelligence and ability to do dark and deep web monitoring and analysis.

Security Trends in 2023

Security Trends in 2023 

Wishing you a very Happy New Year – 2023. Although some of the worst disruption caused by the global Covid-19 pandemic is hopefully behind us, 2023 is shaping up to be another challenging year for business and society. But this year few states going through partial lockdown case to case basis.

Cyber security in physical security:

Adoption of digital technology and internet have also led to increase in cybercrime incidents. It can be controlled or minimized with care, precaution, awareness and with the use of appropriate tools to secure the information. Indian Cyber Crime Coordination Centre (I4C) under Cyber & Information Security (CIS) Division of the Ministry of Home Affairs, has prepared one manual to disseminate Cyber Hygiene Best Practices for the benefit of Industrial Bodies/General Public/Government Officials.

Many large buyers now provide a cybersecurity questionnaire that integrators and solution vendors must complete, leading to creation of new roles in some companies just to respond to such questionnaires that are required in bid processes. Vendors, integrators and the practitioners themselves are simultaneously chasing cybersecurity talent to add to their employee teams, a challenging proposition given the overall difficulty to hire technically skilled workers of any type. Cybersecurity has to be managed on multiple levels, requiring constantly expanding investments in:

·        Device-level cybersecurity (e.g., cameras, readers, panels)

·        Infrastructure cybersecurity (wiring, networks, switches, etc.)

·        Software and Server cybersecurity

·        Configuration cybersecurity (correct implementation of cybersecurity features)

·        Cloud cybersecurity

·        Mobile device cybersecurity (particularly as security and employee bases become more mobile or remote)

·        User cybersecurity (e.g., social engineering attacks, insider threats, etc.)

Security practitioners today seem to have three general choices when it comes to convergence:-

1. Ignore: Disregard the need to converge—a wholly unwise choice, by most accounts.

2. Strongly Interrelated Teams: Continue to manage security in two, separate but equal channels, but strongly define team relationships such that constant open dialogue and cross-investigation exist between the two specialized teams.

2. Fully Converged: Fully merge security leadership and tactical security management to link cybersecurity protections and physical security protections, given converged threat vectors that impact information, data, people and assets.

Artificial Intelligence (AI):

In 2018, a NITI Aayog report stated that India will hold a late-mover advantage in real world application of artificial intelligence (AI). Worldwide, spending by governments and business on AI technology will top $500 billion in 2023, according to IDC research. Moreover AI applications on top of security solutions helps break the boundaries of our industry’s value to practitioners, by embedding non-security applications that take data from the proliferation of sensors of all types to correlate data points or find trends that can save businesses money or enable them to act more swiftly.

In a pre-event discussion with panel lists from an AI panel held at SNG 2022, the expert panel lists (reflecting integrators, vendors and practitioners) indicated they see sweeping AI frameworks coming, but admitted the industry is not yet prepared to define a framework for AI, noting that the technology’s rate of change is likely outpacing our ability to construct implementation frameworks, particularly ethical frameworks.

 

“IN 2023, ARTIFICIAL INTELLIGENCE WILL BECOME REAL IN ORGANIZATIONS. NO-CODE AI, WITH ITS EASY DRAG-AND-DROP INTERFACES, WILL ENABLE ANY BUSINESS TO LEVERAGE ITS POWER TO CREATE MORE INTELLIGENT PRODUCTS AND SERVICES.”

—TRENDS FUTURIST BERNARD MARR, WRITING FOR FORBES IN NOVEMBER 2022

 

Autonomous Devices:

Autonomous devices are a physical form of autonomous technology. Robots, both functional and humanoids, drones and vehicles are a few examples of autonomous devices. Autonomous devices learn from their surroundings and complete tasks without continued human input.

Automation of repetitive security tasks in lower-risk environments (think robots doing automated patrols in unstaffed facilities) and partly about highly responsive situational awareness (flying a drone to a remote or dangerous location for visual input back to the command post), but the real opportunity being seen for 2023 is connecting improved robotics with AI-embedded intelligence to finally put more “autonomous” in “autonomous devices,” some of which required an operator to previously drive the robot. Notably the International Standards Organization narrowly defines robots to not include remote-controlled solutions such as remote-controlled drones and ground vehicles.

Over half a million industrial robots were installed in 2021 according to the International Federation of Robotics (IFR), and that doesn’t even include robots for security applications, which are outside of the scope of the IFR’s annual World Robotics research.

Workforce development:

Workforce development from the societal centric perspective is defined as initiatives that educate and train individuals to meet the needs of current and future business and industry in order to maintain a sustainable competitive economic environment.

In a survey they found attracting skilled labor is a top concern, and there’s only one solution in today’s hyper-competitive labor market: “We must train our own.” Long established as a factor limiting companies’ growth (especially that of the systems integrators), expanding the workforce has become a key focus of organizations like SIA, which partnered with the Electronic Security Association to cofound the Foundation for Advancing Security Talent (FAST) to drive awareness of security industry employment opportunities.

Smart practitioners, particularly larger corporations with extensive security teams, are also hiring talent from their integrators and vendors in some cases, recognizing that they need internal personnel with the skillsets that they once could wholly outsource. Others are instead outsourcing or embedding integrator talent into their organization.

70% of employees work through mobile devices, with 200 million worldwide using mobile business apps. What’s more, 84% of decision makers plan to increase spending on mobile applications that drive employee productivity, reduce costs and enhance customer satisfaction.

The mobile workplace is a place that offers a host of benefits. Its core objective is to make employees as productive as possible, whether they are at their desks, in the field or working remotely. It’s all about equipping staff with the tools they need to do their jobs more efficiently, putting those tools conveniently at their fingertips, and connecting processes so that everything within a business works more cohesively.
 
Smartphone applications will increasingly be employed in 2023 to control physical security systems. Managers will have fingertip control over who has access to certain zones and facilities, and will be able to set those controls from wherever they happen to be working.
 
Security analytics will collate rich data insights from a suite of IoT connected devices, delivering them into the hands of decision makers via their smart devices, helping to inform security and operational strategies.

Data privacy:

Data privacy is the right of a citizen to have control over how their personal information is collected and used. Data protection is a subset of privacy. This is because protecting user data and sensitive information is a first step to keeping user data private. US data privacy laws are regulated at the federal level. Data privacy is typically applied to personal health information (PHI) and personally identifiable information (PII). This includes financial information, medical records, video footage security, social security or ID numbers, names, birthdates, and contact information. You might be surprised to learn that CCTV footage is subject to the GDPR (General Data Protection Regulation).

By 2024, 75% of the Global Population Will Have Its Personal Data Covered Under Privacy Regulations. Ultimately, the practitioner is responsible for ensuring that their data is protected and that systems are used ethically. This had led to pullback from many practitioners on their pace of adoption for some technologies like facial recognition to ensure that they have not only justifiable use cases but the procedures in place to ensure that advanced systems are used responsibly, and that data is only collected when it is needed.

Contactless security:

Contactless technology has become hugely important post-Covid, due to the strong reaction against physical contact. It’s also about the user experience, with people increasingly wanting things to be instant and simple.

Contactless security is therefore, unsurprisingly, becoming more commonplace. Biometric access, using the likes of fingerprints, iris scans and facial recognition to identify authorised personnel for physical access into a building or specific part of it, is already becoming the norm, whilst other contactless entry technologies that are set to be even more widely adopted during 2023 and beyond include Bluetooth Low Energy (BLE), and smartphone NFC (Near Field Communication) keyless entry, as well as QR code entry for temporary access.

For added security, multi-factor authentication (MFA), the use of more than one method of identification, is likely to become more widely adopted, as organisations batten down the hatches, making it harder for would-be unauthorised entrants to gain access.

AI in building automation and HVAC

 AI in Building Automation & HVAC

The today world technology keeps moving on an exponential growth rate and not in linear, whereas artificial intelligence started footprinting on all industry it possible before we proceed further how artificial intelligence used in building automation?

let us go through some basics of artificial intelligence terms.

What is Artificial Intelligence(AI)?

·       AI branch of computer science dealing with the simulation of intelligent behaviour in computers.

·       AI or artificial intelligence helps machines to learn from experiences (otherwise called as machine learning) and adjust to new inputs and work as a human.

·       Almost all technology giant  companies like Google, Microsoft, Amazon started involving AI concepts in their services for examples,

Google translate uses AI, where translating techniques keeps an updating/learned/suggested to google machines to give better accuracy.

Google Assitant uses AI, where it used to assist the user needs based on natural voice by processing various AI algorithm to detect the user’s voice and predict the better result.

Amazon and other e-commerce website are providing recommended products based on the user experience -behind this concept, it is not implemented with the only pre-defined program but also used various AI algorithms to predict the user recommended products with high accuracy which help them bring million of revenues for e-commerce owner.

What is Machine Learning?

·       Machine learning is technically a branch of Artificial intelligence which is limited to or more specific than the overall concept of artificial intelligence. Machine learning is an idea for machines to collect a set of data to process and learn with an advanced algorithm to predict the better output.

·       otherwise, we can say machine learning is capable of changing the program themselves.

What is Deep Learning?

·       Deep learning is a subset of machine learning.

·       Deep learning is related to deep artificial neural networks which are set of an algorithm that has a new set of record in accuracy for many complex problems.

Above terms and definition are just basic about artificial intelligence and proceed with a further post to understand how artificial intelligence service of software used in building automation.

let us discuss Roby and Brainbox AI about how it is used in building automation and saving more energy on buildings.

How Artificial intelligence used in Building automation system

With the help of artificial intelligence, Machine learning, deep learning and cloud technology concept, AI service provider creating best and various algorithm by HVAC and building automation experts and same implemented with the existing system installed in buildings.

Note that building already has a centralised and specific system with dedicated hardware and software to monitor and control the equipment as per the requirement.

Existing BMS system generates and stores tons of data of connected equipment in the building

·       TrendLog- log/store the various sensors data connected in buildings with configured over a period of time.

·       Events-Log the information about on and off state of all equipment.

·       Alarms- generate an alarm if any fault identified in connected equipment.

AI role is here to collect the data from the BMS System, process it and instructs your existing HVAC system on how to operate more intelligently and efficiently.

Let us see some AI tools used in Building automation 

·        Roby

·        Brainbox AI

What is Roby?

Roby is a chat/voice-enabled software with AI concept that handles all requests, automate repetitive tasks, eliminates miscommunication, and reduces resolution time to increase employee satisfaction.

·       Simplify ticketing management-Roby unifies all channels for making requests to a single interface for employees.

·       Keep employees engaged-Roby keeps employees updated on their requests and encourages interactions.

·       Understand the office inside and out-Roby periodically initiates employee surveys and indicate potential problems based on responses.

·       Deflect repetitive question-Roby learns from employees’ feedback and automatically deflect repetitive questions.

How Roby Helps Your Office Management

·       Managing Varied Requests-There is many ways to make a request, and it is difficult to keep eyes on multiple channels.

·       Answering Repetitive Questions-In a dynamic environment, it is difficult to maintain a knowledge base for so many questions.

·       Keeping Employees Involved-Sometimes, the conversation gap between employees and support team can cause miscommunication.

·        Getting Feedback from Employees-Companies usually use professional service to do employee surveys, but this wastes time and money.

How does Roby work?

Employees simply send all requests to Roby

·       Using “/Roby” or click a button, employees can easily send a request to support teams and check statuses anytime.

·       Roby automatically creates a to-do list for the support team and keeps employees notified

The support team can stay focused on their tasks and not worry about being continually distracted. Simply type “request”, Roby will show a to-do list and keep everyone updated.

·        Roby can learn the Q&A and automatically answer repetitive questions

·        Employees can ask a question to support teams through Roby. Roby will memorize the Q&A and directly answer it next time when the same question is asked

·       Roby drives the interactions between employees and the support team

Every two weeks, Roby will send simple metrics to employees to keep track of the effort from the support team and get their valuable feedback.

·       Get valuable insights into your office space

·       The feedback and survey results are displayed in the Roby Portal. The support team will be able to access and better understand how to improve employee satisfaction.

Roby is not limited only with above features but also add-on with existing building automation

·       HVAC Add-on: Control the temperature of workspaces at any time, and have preferences automatically applied in the future.

·       Lighting Add-on: Adjust the lighting in any workspace and create schedules to maximize energy use efficiency.

·       Support Ticketing Add-on: Submit support tickets- anytime, anywhere, and get immediate responses with automatic notifications, 24/7.

·       Calendar Add-on: Book meeting rooms on the fly, see which rooms are available, and ensure that unused room is automatically opened for assignment.

Key Benefits of using Roby for building automation

·       Convenient, Easy to Use. Integrates into existing employee communication platforms, allowing employees to easily submit requests. Natural language processing makes submitting a request simple.

·       Communications.  Roby keeps the requestor informed with status updates and resolution notification.  Operators can make broadcast announcements

·       Time Savings. Automated execution of HVAC tasks, elimination of duplicate tickets, and intelligent communication free up Operators to focus on higher value activities. done!

·       Speed. Temperature change requests completed in real-time without human intervention, even after hours.

·       Cost Savings. AI continuously optimizes HVAC operations, resulting in reduced heating and cooling costs without sacrificing employee comfort.

·       Predictive. Roby continuously learns users’ needs and takes proactive actions to optimize the office environment and replenish office supplies.

·       Satisfaction and Productivity. Comfortable employees are happier and get more done!

What is BrainBox AI?

Brainbox AI using technology to the implementation of optimizing in energy consumption of building which is one of the largest contributors of climate-changing in this world.

·       Brainbox AI engine supports a self-operating building that requires no human intervention.

·       Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously optimizes existing Heating, Ventilation, and Air Conditioning (HVAC) control systems for maximum impact on energy consumption.

Brainbox AI helps to

·       25-35% of reduction in total energy costs.

·       60% improvement in occupant comfort.

·       20-40% decrease in carbon footprint.

·       3-month payback and low CAPEX

How BrainBox Implemented and works to save energy in Buildings

STEP 1: GETTING ACQUAINTED

·       Our solution identifies and catalogues your building’s specific operating behaviour and energy flow by gathering data from both internal and external sources. It then creates a building energy profile for making informed predictions about future energy flow.

·       BrainBox AI collects hundreds of thousands of real-time data points, such as outside temperature, sun/cloud positioning, fan speed, duct pressure, heater status, humidity levels, occupant density and many more.

 STEP 2: OPTIMIZING FLOW

·       Using over 25 customized algorithms working in real time, our AI engine instructs your existing HVAC system on how to operate more intelligently and efficiently.

·       This process is similar to an aircraft on auto-pilot.

 STEP 3: CONTINUOUS IMPROVEMENT

it continually amalgamates and analyzes all generated data to further optimize operational efficiency and discover other unique insights.

To improve operational efficiency, BrainBox AI works to answer questions, including:

·       Which HVAC units have the fewest mechanical issues?

·       How are changes in occupancy levels affecting energy consumption?

·       Which HVAC units are the most energy efficient in cold or humid climates?

Bottom Line – This AI technology services and tools for buildings will have much impact on facility management in the near future.

Learn more about artificial technology on

• USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE THE FLOW OF ENERGY THROUGH THE BUILT ENVIRONMENT

·        UNDERSTANDING ENERGY EFFICIENCY AS A DYNAMIC RESOURCE IN THE BUILT ENVIRONMENT

Note: Original content published on https://www.brainboxai.ai/ and https://tellroby.com/