AI In Electronic Security Systems

AI In Electronic Security Systems

As we all know, Artificial intelligence (AI) is transforming the technology world at a lightening pace. In our business of Electronic Security Systems (ESS), AI has introduced capabilities that were once considered unattainable a reality. From enhancing traditional alarm systems to revolutionizing how CCTV footage is monitored and analyzed, AI is helping businesses and homeowners alike to secure their properties more effectively. The integration of AI technologies is improving security performance; it is reshaping expectations, roles, and the overall functionality of security systems.

Key Applications of AI in Electronic Security

·        Intelligent Video Surveillance (VCA): AI replaces manual monitoring by analyzing video feeds in real-time to detect suspicious behavior, such as loitering, tailgating, or unauthorized access. It can identify specific objects, such as weapons, unattended luggage, or vehicles.

·        Biometric Authentication: AI enhances the accuracy of facial, iris, and palm-vein recognition, making them nearly impossible to spoof with photos or 3D masks. New systems like MorphoWave offer contactless, multi-biometric scanning for high-traffic areas.

·        Behavioral Biometrics: This technology monitors how a user interacts with a system—analyzing typing rhythm, mouse movements, gait, or even the angle at which they hold a smartphone. If these patterns change mid-session, the AI can trigger "step-up" authentication (e.g., asking for a fingerprint).

·        Facial Recognition and Access Control: Biometric systems use AI to identify individuals, manage access to secure zones, and flag blacklisted or unknown faces.

·        Anomaly & Tailgating Detection: AI-integrated cameras can instantly identify "tailgating" (unauthorized persons following someone through a door) and alert security in real-time.

·        Proactive Threat Detection & Mitigation: AI-driven systems (e.g., in smart locks or integrated alarm systems) can detect tampering, predict potential breaches based on historical data, and initiate automated, pre-set actions—like locking doors or activating sirens.

·        Intelligent False Alarm Filtering: Traditional sensors often trigger for shadows, pets, or swaying trees. AI analytics can reduce these false alerts by up to 90-95% by specifically identifying human or vehicle shapes and filtering out "noise".

·        Centralized Monitoring Stations: AI automates the initial triage of alarms, allowing human operators to focus on verified threats, which improves response times.

·        Physical Safety Enhancements: AI is used for "slip and fall" detection, fire/smoke detection, and "aggression detectors" that identify stress in voices before violence occurs.

·        Predictive Analytics: AI analyzes historical patterns and sensor data to forecast vulnerabilities. For example, it might identify a higher risk of breach during specific hours and suggest pre-emptive measures.

·        Emergency Integration: AI-linked sensors (like carbon monoxide or smoke detectors) can detect rising levels before they reach dangerous thresholds, alerting homeowners and monitoring services in advance.

·        Behavioral Anomaly Detection: Systems learn typical household or office routines and flag deviations, such as a person loitering in a restricted area or "tailgating" through a secure entrance behind an authorized person.

·        Active Deterrence: Upon detecting an intruder, AI-enabled cameras from brands like Axis Communications can immediately trigger strobe lights and sirens or broadcast automated voice warnings to deter the suspect before they enter the building.

·        Smart Perimeter Protection: Advanced systems use Fiber-Optic Sensing to detect vibrations from climbing or cutting a fence, pinpointing the intrusion location within ±5 meters across distances up to 100km.

Benefits of AI-Powered Security

·        Drastically Reduced False Positives: AI filters out noise (e.g., wind-blown foliage, animals), saving time and resources for security personnel.

·        Proactive Security & Faster Response: By detecting anomalies immediately, threats are stopped before they escalate.

·        Improved Efficiency & Scalability: Cloud-based AI allows for real-time analysis across multiple locations without requiring extensive on-site personnel or infrastructure overhauls.

·        Enhanced Forensic Search: AI enables rapid searching of recorded footage for specific attributes (e.g., "red shirt," "white van") across multiple cameras, reducing investigation time from days to minutes

 

Alarm Systems 

Traditional alarm systems have simple binary responses: a door is open when it shouldn’t be, a motion sensor is tripped, or a window is broken. These systems then sound an alarm or alert the property owner or monitoring center. However, these systems often result in false alarms, caused by pets, falling objects, or even poor weather, leading to unnecessary disruptions and, in some cases, fines from local authorities.

As we’re all coming to see, AI is addressing this issue by enabling alarm systems to learn and adapt to their environments. Machine learning algorithms can distinguish between normal and suspicious activity by analyzing patterns over time. For instance, AI enhanced motion sensors can differentiate between a dog walking through the living room and a person. AI also supports multi-sensor data fusion, meaning it can combine input from various devices such as cameras, door sensors, and environmental sensors to make smarter decisions.  

Voice recognition, facial recognition, and behavioral pattern analysis are also being incorporated into access control and intrusion detection systems. This allows alarm systems to verify users through biometrics or predict unusual behavior that may indicate a potential breach, significantly improving the accuracy and reliability of these systems.

AI Driven Video Surveillance Systems 

One of the most significant AI advancements in the security industry is in the realm of video surveillance. Traditionally, video systems have been passive, recording hours of footage that must be manually reviewed to identify security incidents. With the addition of AI, surveillance systems have become proactive and intelligent.  

AI-powered video analytics allow video surveillance systems to automatically detect suspicious activity in real-time. These systems can recognize objects, track movement, and even analyze behavior to detect potential threats. For example, a camera can alert security personnel if someone is loitering near an entrance for an extended period, or if a vehicle is parked in a restricted area.  

Facial recognition software can identify known individuals or flag unfamiliar faces in secure zones, adding another layer of security. License plate recognition is increasingly used for vehicle access control and surveillance on commercial and residential properties. Moreover, AI can help filter out irrelevant footage and highlight only segments that require attention, greatly reducing the workload for security teams. 

AI is also enhancing remote monitoring capabilities. Cloud-based AI platforms allow footage to be analyzed off site in real time, making surveillance more accessible and efficient for businesses with multiple locations or limited on-site personnel. 

What Is AI-Powered Security Analytics?

At its core, AI-powered video analytics refers to the use of artificial intelligence—particularly machine learning (ML) and computer vision—to interpret live and recorded video in real time.

Instead of relying solely on human operators to monitor screens or on pixel-based motion alerts, AI algorithms can:

·        Detect suspicious behaviours (e.g. loitering, object abandonment, unauthorised access)

·        Track individuals or vehicles across multiple camera feeds

·        Recognise faces, number plates, or clothing patterns

·        Identify anomalies in movement or crowd behaviour

·        Predict incidents based on behavioural patterns and environmental cues

Smarter Monitoring Centers with AI 

AI is also revolutionizing central monitoring stations, which serve as the nerve centers of alarm response. Traditionally, human operators must sift through large volumes of alerts, many of which turn out to be false alarms. This manual process is labor intensive and prone to delays, especially during peak times. 

AI-powered platforms can now pre-analyze incoming alarm data before it ever reaches a human operator. By using historical data, machine learning algorithms can filter out false alarms, detect patterns that indicate real threats, and prioritize alerts based on risk level. For example, an AI system might learn that motion alerts triggered every day at 8 a.m. in a certain location are routine and harmless, while unexpected activity at 2 a.m. is more likely to require a response.  

AI also enables automated voice assistants and virtual agents to handle initial communications with property owners, verify activity, or ask follow-up questions before escalating to a live operator. This allows monitoring staff to focus on genuine emergencies and significantly improves response times. As a result, monitoring centers are faster and more effective. Reduced false alarms mean fewer unnecessary dispatches, saving time and resources for both the security provider and emergency services. 

Looking Ahead 

AI is poised to continue transforming the electronic security industry by making systems more intelligent, responsive, and accurate. Alarm systems that once functioned on simple triggers are now capable of learning and evolving. Video surveillance systems, previously dependent on human observation, are now leveraging AI to detect and prevent incidents in real time. Ultimately, the fusion of AI and electronic security is setting a new standard for safety and operational efficiency in both residential and commercial settings. 

Protect your Surveillance System with a VPN

Protect your Surveillance System with a VPN 

Security cameras have become an essential tool in today’s world, where security is a growing concern for businesses and individuals alike. With the help of these cameras, you can monitor your property, deter crime, and protect your loved ones. However, while security cameras are a great investment, they also come with some security risks that can put your privacy and security in danger.

One of the most significant risks of using security cameras is that they can be easily hacked, leaving you vulnerable to cybercriminals who may want to access your data or spy on your activities. This is where VPNs come in. You can protect your surveillance system with a simple VPN download process.

In this article, we will explore the importance of using a VPN to protect your surveillance system and keep your data secure.

What are VPNs, and how do they work?

A Virtual Private Network (VPN) is a service that allows you to connect to the internet securely and privately. When you use a VPN, your data is encrypted, and your IP address is masked, making it difficult for anyone to track your online activities. VPNs are commonly used to protect sensitive information, such as online banking transactions or private messages, from prying eyes. However, there are other uses for VPNs such as blocking websites from tracking you, accessing restricted content and more.

VPN services work by creating a secure connection between your device and the VPN server. Your device sends data through this connection, which is then encrypted and sent to the VPN server. The VPN server then decrypts the data and sends it to its intended destination. This process protects your data from interception or hacking by cybercriminals.

The importance of using a VPN to protect your security cameras

While security cameras are essential for monitoring your property, they are also vulnerable to cyber-attacks. If your security cameras are connected to the internet, they can be accessed remotely by hackers who may want to spy on your activities or gain access to your personal data. To protect your security cameras from these threats, it is crucial to use a VPN.

Using a VPN for your security cameras can provide several benefits, including:

1. Protecting your privacy: When you use a VPN, your data is encrypted, and your IP address is masked. This means that hackers cannot track your online activities or access your personal information, providing an added layer of security for your security cameras.
2. Securing your footage: By using a VPN, you can ensure that your security footage is kept private and secure. This is especially important for businesses that may have sensitive information captured on their security cameras.
3. Preventing unauthorized access: VPNs can also prevent unauthorized access to your security cameras. By creating a secure connection between your device and the VPN server, you can ensure that only authorized users can access your security footage.
4. Protecting against cyber-attacks: VPNs can protect your security cameras from cyber-attacks such as hacking or malware. This is because the VPN encrypts your data and prevents it from being intercepted by cybercriminals.
5. Avoiding geo-restrictions: In some cases, security  cameras may be restricted to certain regions or countries. By using a VPN, you can bypass these restrictions and access your security cameras from anywhere in the world.

How to choose the right VPN for your security cameras

Choosing the right VPN for your security cameras is essential to ensure maximum protection and privacy. Here are some factors to consider when choosing a VPN:

1. Encryption: Look for a VPN that uses strong encryption, such as AES 256-bit encryption. This ensures that your data is protected and cannot be easily decrypted by hackers.
2. Server locations: Choose a VPN that has servers located in different regions or countries. This allows you to bypass geo-restrictions and access your security cameras from anywhere in the world.
3. Compatibility: Make sure the VPN is compatible with your security cameras. Some security cameras may not be compatible with certain VPNs, so it is important to check before signing up.

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/