System Integrators Start with IIoT

System Integrators Start with IIoT Now 

“Companies whose investment processes demand quantification of market sizes and financial returns before they can enter a market get paralyzed or make serious mistakes when faced with disruptive technologies” Clayton M Christensen – The Innovator’s Dilemma. The excerpt above sums up what I believe may be happening in the system integration space with regards Industrial IoT (IIoT) implementation and will be the subject that I seek to address in this post.

An IoT system integrator is a qualified business that offers companies consulting services, training and solutions to setup and maintain all aspects of IoT (Internet of Things), from hardware to software. There are a lot of system integrators who are IIoT savvy, but most are filled with skepticism and they still see it as a hype. So they eagerly wait on the side-lines for the wave to pass or to adopt the technology next year or the year after when the hype has died down. Another reason could be that they do not yet fully comprehend the opportunities afforded by IIoT. Whatever reason they may have for dragging their feet, the reality is that those who fail to act quickly will be forced to share the plant floor with new competition.

But here is the kicker, there is a new breed of integrators crossing over from the commercial sector. The ones that specialise in smart devices. They are willing and ready to move into manufacturing and industry in general. However, automation systems integrators are well positioned to fill the gap now more than ever, because in most businesses the acquisitions of IoT solutions has shifted from being handled by the IT department to operations. And due to an existing relationship between operations and system integrators they happen to speak the same language and it will therefore be easy for systems integrators to liaise with IIoT vendors and quickly step in to fill the void. Consequently, with investment in the knowledge of embedded systems, wireless applications, front-end and back-end solutions they can provide an entire chain on IIoT and in turn offer efficient systems to the user. Creating a win win situation.

Nowadays, almost all automation devices are being shipped IP and cloud ready. The challenge though, as i have personally experienced, is that IIoT vendors are still emphasising on locking in market share. Making it difficult to aggregate all the information from different sensors and devices onto a single platform as opposed to using separate cloud components for each device or sensor. But then again this also presents itself as an opportunity for the IIoT savvy system integrator to act as a differentiator by providing solutions that make it easy to move data between systems, unlocking all the value for their customers.

The idea is simple. The data that is already being used within automation systems for operation happens to contain a wealth of useful information for running the business more effectively in areas such as energy consumption, asset utilisation, supply chain management and predictive maintenance to name a few. Its not just connecting to the PLC and exchanging data, its something more. Its about the system integrators getting involved as the needed experts on big data, connectivity and cloud computing etc. Because no one, not even the vendors have as much knowledge as system integrators on the businesses these IIoT systems are being sold to.

A master systems integrator provides a single (core) user interface to monitor and manage every aspect of a facility. This gives owners a competitive edge in today's sophisticated market. Master systems integrators also install and manage the systems that make your building run.

In conclusion, Its only a matter of time before non-automation companies come down into the manufacturing space and I envisage it getting a little bit crowded. What action can be taken? System integrators need to start building their skills in applying these technologies and incorporating fresh ideas.

ASi-5 – high data bandwidth for demanding applications

Machine data, process data and diagnostic data - today, machines and systems generate huge amounts of data. But only a fraction of this data necessarily belongs in the higher-level PLC. In order to successfully implement Industry 4.0 projects, the majority of the data needs to be processed and analyzed in IT. Coordinated interaction is only possible when all devices in the cyber-physical system communicate with each other.

 

A powerful data shuttle such as ASi-5 is needed. The new ASi generation offers a high data bandwidth and short cycle times. This makes it easy to integrate the smart sensors like IO-Link that are so important for Industry 4.0.

 

Our modern ASi-5/ASi-3 gateways also play an important role. They have two independent interfaces - for OPC UA and a fieldbus - which allow the respective data to be transferred directly to IT or the control. The gateways also act as a link between field devices and higher-level IT systems, collecting valuable diagnostic data that usefully supplements the device data from the field.

 

Since more connectivity increases cyber risks, we rely on encrypted communication and authentication. Thanks to field update capability, the ASi-5/ASi-3 gateways also meet future security requirements.

Difference Between CCTV and Surveillance Cameras?

When it comes to matters of security, there is a great deal of misunderstanding regarding the distinction between closed-circuit television and surveillance cameras. In spite of the fact that many people use these phrases synonymously, there is a significant difference between the two.

In this article, we will go over the key distinctions between closed-circuit television (CCTV) systems and surveillance cameras, and then we will assist you in selecting the system that is most suited to meet your requirements and how to Select The Right CCTV System.

What Is CCTV?

A CCTV system consists of a number of cameras to record activity, a digital video recorder (DVR) to store footage, and a monitor to view the recordings. You can also add security features like motion detectors and alarms.

Most people install CCTV systems for security purposes. They deter burglars and can help identify criminals after the fact. But they have other uses too. For example, you can use them to keep an eye on employees or children.

CCTV systems come in all shapes and sizes. They can be as simple as a single camera connected to a DVR, or they can be more complex with multiple cameras, different types of storage, and remote viewing capabilities. The type of system you need depends on your specific needs.

Installing a CCTV system can be a great way to improve security at your home or business. But it’s important to make sure you understand all the ins and outs before making any decisions.

What Is A Security Camera?

The word “security camera” is often used, although many people have no idea what they are. Monitoring and recording activity in a certain area is the primary function of security cameras.

They’re commonly found in public locations like shops, banks, and other establishments of a commercial nature. The usage of security cameras to discourage criminals and safeguard families is becoming more common.

There are a wide variety of security cameras to choose from. Small enough to fit in your hand, yet with a wide range of size options.

The region you want to keep an eye on will dictate the kind of camera you require. In order to watch your front entrance, you’ll need a different kind of camera than you’ll need to monitor your backyard, for instance.

Wireless and wired security cameras are available. A cable connects a wired camera to a recorder, such as a DVR. Wi-Fi is a common method of transmitting footage from wireless cameras.

Wireless cameras are preferred by many people since they are easy to set up and can be put anywhere in your house or company.

Analog and digital security cameras are two of the most common varieties. Analog cameras record footage using an analogue signal. Unlike digital cameras, this sort of camera is older and less prevalent.

What is The Main Differences Between CCTV and Security Camera

CCTV cameras, or closed-circuit television cameras, are a type of security camera that is typically used in public places in order to deter crime.

Security cameras, on the other hand, can be used in both public and private settings and are often used in homes in order to provide extra security. Here are five main differences between CCTV cameras and security cameras:

-CCTV cameras typically have a wider field of view than security cameras.

-CCTV cameras are usually mounted on ceilings or high up on walls, while security cameras can be placed anywhere that provides an adequate view.

-CCTV footage is usually monitored by security personnel in a separate location, while many home security systems allow users to monitor their own footage remotely.

-CCTV cameras typically record footage continuously, while security cameras can be set to record only when motion is detected.

-CCTV cameras are usually larger and more noticeable than security cameras.

Both CCTV cameras and security cameras serve an important purpose in terms of security. It’s important to choose the right type of camera for your needs in order to ensure that you’re getting the most out of your investment.

Comparison Table Between CCTV and Security Camera

CCTV	Security Camera
CCTV stands for ‘closed-circuit television’	Security cameras are also known as IP cameras; Internet Protocol Cameras.
As wired network cords, CCTV cameras utilize	Power over Ethernet (POE) is used by security cameras to reduce the requirement for electrical cables.
CCTV systems have a lesser video quality and image quality than security cameras.	Security cameras provide greater video quality and pixel density than CCTV cameras.
A television is used to transmit feeds from CCTV cameras.	Wi-Fi, LAN, or cellular networks are used to link security cameras.
CCTV is not wirelessly accessible and can be disarmed easily.	Security or IP cams are much more efficient and can be controlled wirelessly regardless of distance.

How To Select The Right CCTV System

When it comes to choosing a CCTV system, there are many things to consider in order to find the right one for your needs. Here are a few tips on how to select the right CCTV system:

-First, you need to determine what type of coverage you need. Are you looking for indoor or outdoor coverage?

-Second, you need to decide on the features that are important to you. Do you need night vision or motion detection?

-Third, you should consider the size and placement of the cameras. You will need to make sure that they are placed in strategic locations in order to get the best coverage possible.

-Fourth, you will need to choose a system that is compatible with your existing security system. If you don’t have a security system, you will need to choose one that is easy to install and use.

-Finally, you will need to decide on a budget. There are many different CCTV systems on the market, so you will need to find one that fits your needs and budget.

When it comes to choosing a CCTV system, there are many things to consider. With these tips in mind, you should be able to find the perfect system for your needs!

How To Select The Right Security Camera

It’s important to do your research when selecting a security camera. You want to make sure you’re getting a high-quality product that will be effective in protecting your home or business. Here are a few things to keep in mind when making your selection:

– The type of camera you need will depend on the area you’re trying to monitor. Indoor cameras are typically small and unobtrusive, while outdoor cameras need to be weatherproof and durable.

– Resolution is an important factor to consider. Higher resolutions mean better image quality, but they also require more storage space and processing power.

– Night vision is another key feature to look for. Many cameras now come with infrared LEDs that allow them to see in low-light conditions.

– Some cameras come with additional features like motion detection and two-way audio. These can be useful in certain situations, but they’re not essential for everyone.

Take your time to compare different security cameras and find the one that’s right for you. With so many options on the market, there’s sure to be a perfect match for your needs.

Conclusion

Make sure you’re getting exactly what you want with SSA INTEGRATE’s services.

We ensure that the solutions we are implementing will meet your demands now and in the future by going through our clients’ requirements.

No matter how many cameras you need, our team can manage all the design, estimating, specifications, equipment use and new equipment installation along with the necessary training and maintenance. We are not recommended to install HikVision, Dahua & Huawei.

It is our goal to give the best possible customer service prior to and following the installation. Regardless of the situation, customers can always rely on our knowledge and team.

Massive Growth of AI in Video Surveillance

Massive Growth of AI in Video Surveillance

In June 29, 2001 release A.I. Artificial Intelligence, co-written by American science fiction drama film, co-produced, and directed by Steven Spielberg and based on the 1969 short story "Supertoys Last All Summer Long" by Brian Aldiss. In the late 22nd century, rising sea levels from global warming have wiped out coastal cities such as Amsterdam, Venice, and New York, and drastically reduced the world's population. A new type of robots called Mecha, advanced humanoids capable of thoughts and emotions, have been created.

No noo don’t stop to reading of my article, I am saying this movie come to true in the late 22nd century.The goal of AI is to provide software that can reason on input and explain on output. AI will provide human-like interactions with software and offer decision support for specific tasks, but it’s not a replacement for humans – and won’t be anytime soon. It augments our abilities and makes us better at what we do. Because AI algorithms learn differently than humans, they look at things differently. They can see relationships and patterns that escape us.

“Neural Networks give thinking, Machine learning is popular but deep learning breakthroughs drive AI boom” says Arindam Bhadra, eSecurity expert cum blogger.

Now we look at why AI will become an integral part of your video surveillance solution in the coming years.

AI would play a major part in is going to be the analysis of the massive amount of data that is collected by the security system. If you consider the amount of data that is being collected by the device sensors, it is difficult to make heads or tails of data at present and this is where AI will come into the picture.

The rise of AI is beginning to revolutionize technology in various industries, and security is prominent among them.AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage. Video surveillance solutions, for instance, are now seeing an AI-based applications.

The AI CCTV is basically a processing of the image with the help of deep learning algorithm and after processing you will get information. Artificial intelligence CCTV camera is just like CCTV operator that will give you information which you mean.

I will give infographics comparison of 100 cases in which CCTV recording as required, you can judge how to use artificial intelligence camera is.

To understand in the better way I will put an example so that this topic will clear in the more better way.

If two camera is installed at the main gate of an industry then what is the use of that camera, you need information and activity which is happening at gate, like how many people entered in the industry, number of vehicle passing from gate, may be you need vehicle number of all vehicle which are entered in the premises, you may wish for how many visitor visiting in premises, you may wish that how many time you regular staff passing from gate. So these are the activities that you need to watch, for this you put CCTV operator who can process all information and send you detail log but with help of AI CCTV camera with AI-Software, you can find the automatic log of these activities from software. So from the above example, it is more clear that what actually artificial intelligence camera is.

Surveillance systems that include video analytics analyze video footage in real-time and detect abnormal activities that could pose a threat to an organization’s security. AI helps security software ‘learn’ what is normal so it can identify unusual, and potentially harmful, behavior that a human alone may miss.

To understand technically AI-CCTV camera is a simple IP camera but it is embedded with AI-Software, so according to need they develop AI-software’s. There are many kind algorithms and software likeFacial reorganization- it will allow you finds people in a crowds place like railway stations, Airports, stadiums.

Intelligent Object, Event and Facial Recognition

In line with the concept of proactive and real-time security, AI-based technologies can offer superior facial and object detection capabilities. In fact, there is massive potential for facial recognition in the law and order sector where specific individuals need to be identified from crowds in large spaces.

And security is not the only place that is betting on this. Marketing departments in large corporations are also considering (if not already employing) facial recognition solutions to identify potential high-value customers who can be offered special services.

The power of AI will also enable “faceless recognition”, wherein a person can be identified not just from visuals of his face, but also from factors such as their height, posture, build, etc. Moreover, solutions could become more aware of the environment that they are monitoring, detecting patterns of activities and drawing out anomalies when required. They would also be able to experiment with different simulations and come up with possible scenarios where there could be potential threats.Faceless recognition systems would prove invaluable in situations such as the 2016 Berlin terrorist attacks where the attacker was caught on camera various times from angles where traditional biometric facial recognition systems failed.

Image Sharpening

Another huge benefit to using artificial intelligence in video surveillance systems is its ability to cross reference data with other neural networks or databases in order to fill the gaps in its own knowledge. The first artificial network enhance the details of the image in accordance to the layout provided in order to make it more feasible as an image.

This kind of image enhancing technology obviously has a huge amount of potential in video surveillance and security, from criminal and terrorist identification and tracking to staff monitoring and security access operations. This kind of technology could also allow remote IP cameras to stream enhanced video across a network that could then, in the case of a crime scene investigation, be remotely accessed by a forensics expert to assist in the investigation. The same could be true for security experts in video surveillance use cases whereby detectives can access image-enhanced video to investigate potential video recordings of wanted suspects.

Managing Massive deeper Data:

AI analyzes more and deeper data using neural networks that have many hidden layers. Building a fraud detection system with five hidden layers was almost impossible a few years ago. Surveillance is not just about data from a single source anymore. Cameras and sensors of diverse types are covering every nook and corner of locations to leave no room for error. This means that security solutions must deal with substantial amounts of data that require specialized software systems to manage.

AI systems could interpret data coming in via IP cameras and use it to automatically trigger alarms or notify security guards if it noticed something suspicious or out of place in the video data. Archive video footage could also be analyzed by AI systems using deep learning algorithms in order to place potentially new suspects at the scene of a crime automatically, with human agents merely updating a database the AI system had access to.

Video Summary

Video Summary is a fast and powerful application that reduces a long, archived video into a short, manageable video summary. Video Summary reduces the time required to analyze archived video by removing unnecessary video data such as static or empty scenes. Video Summary quickly analyzes the video and removes the static background data while retaining the relevant data. This allows security professionals to quickly review hours of archived video in minutes. Video Summary can receive video input from many different types of video archives recorded on DVRs, NVRs, or video management systems. It can also provide real-time video summaries on live video feeds from analog, digital, or IP/network cameras. With COM-SUR AI application help to Increase productivity and efficiency of security professionals.

Alarm Center

Alarm Center provides options to view, search, report and analyse all the alarms generated by AI analytics running on different systems across a LAN. It also provides heat map for multiple cameras and provides the paths of object or people movement. Reporting in PDF, JPG, Excel, Text file.

Unusual Motion Detection

UMD is an advanced artificial intelligence (AI) technology that brings a new level of automation to surveillance and is designed to reveal events that may have otherwise been missed. The analytic cameras will support either object detection or UMD but, not both at the same time.

The analytics definitely work and would be used for perimeter detection and alarming for sure but, if you aren't going to program the analytics and be proactive about it then UMD could be turned on and the camera will learn it's scene over the course of 1-2 weeks then when reviewing video instead of looking at lots of different motion events on the timeline you can filter the timeline to show just unusual events based on direction, speed, location.

"Today, most recorded video footage is never viewed, meaning critical events may go undetected. Avigilon is using artificial intelligence technology like UMD to help our customers effectively extract valuable insights from their video data," said Dr. Mahesh Saptharishi, Avigilon's CTO.

Edge Analytics

This is very cost effective solution without server requirement. Applying some supported cameras can provide Intrusion (Trespass, Boundary Crossing etc), Loitering, Crowding& Counting.

Enhanced Surveillance Monitoring

AI provide rapid detection of smoke even when smoke is formed in 10-15% of the viewfor both indoor and Outdoor Environments. It’s called Video based Smoke Detection(VSD).

Privacy Masking

Face and Skin area can be masked to protect the identity of the persons appearing in the camera view of surveillance system. While unmasked video is recorded & stored, masked video is viewed by operators during surveillance monitoring.

Thermal Sensing Camera

Thermal camera will allow you to measure the temperature of the particular object. It will install at a temperature sensitive place like industrial boiler etc. accordingly analysis object details through AI software.

Trigger Based Detection

The trigger can be obtained from devices like RFID, Traffic Light Signal. Triggers analytics for unauthorized people detection or object detection after people leave from the area of interest. So you can say this is apply for integration (BMS, ACS, Parking etc)

Real-Time Protection

Video surveillance solutions have always remained reactive and useful only after an incident has occurred or at least a threat is detected by human operators. This is all set to change with the arrival of AI systems that can detect a potential threat way before an incident occurs.

For instance,deep learning, neural network can detect unattended objects like bags in airports and public spaces, enabling authorities to act before it’s too late. Similarly, AI-enabled surveillance solutions can monitor the behavior of people in a store and identify those who might engage in shoplifting.

Demographic Analysis

It detects the gender for human face appearing in the camera field of view. Sometime is called Gender Detection.

This analysis can provide approximate age against human face appearing in the camera field of view.

Parking Management

Provides the parking occupancy level and free parking slot availability by detecting vehicle entry and exit by monitoring these transition points in parking lot areas.

Also detects the percentage of area occupied by vehicles and alerts against vehicle congestion as the vehicles occupy area beyond a threshold value.Illegal parking (no parking zone or restricted zone) of the vehicle in front of the entry/exit gates.

Beverage Management

Counts the number of cups / beverages passed over a line like in serving counter area.

Queue Management

Detects queue properties for waiting time analysis (Ingress – in flow, Egress – out flow. It’s applicable in service counters, ticket counters / travel desk, check in counters, flight boarding areas for waiting time analysis and improvement of service process.

Gesture Recognition

Detection of unusual gestures of persons by raising weapons (lathi/stick, rifle etc.) with intention to charge on others. Or a person slipping and falling on ground.Detection of object(s) removed / missing from the monitored zone in the camera view.

Appearance Search

Appearance Search technology will allow users to initiate a search for a person by selecting certain specific physical descriptions, including hair and clothing color, gender, and age. The new feature is designed to provide security operators enhanced speed and flexibility when conducting a search for a person. "While investigating critical events, time is of the essence, and security operators are often provided physical descriptions of the people involved," said Dr. Mahesh Saptharishi, Avigilon's CTO.

Crowding Detection

This technology allows you to know the density of the object in the crowd as the number of the object put at a particular place within the camera field of view / region of interest.

AI Analyses crowd movement patterns / direction in different way and marks it by different colours, and detects and movement of crowd in undesired direction.

Measures/counting the crowd level in terms of number of people occupying a specified region of interest in the camera field of view, provides live crowd count on screen.

PTZ Analytics

Speed dome camera / scan dome camera is called PTZ camera. Basically P – Pan, T – Tilt & Z indicate Zoom. Automatic tracking of object (Single or Multiple) using Pan-Tilt-Zoom (PTZ) camera.

Violation detected on any Fixed camera triggers PTZ camera to its view for auto tracking of the violator object.

Automatic one step PTZ operation to capture closer video of an agent on any pre-set rule violation such as crossing a virtual line, or entering a virtual area etc.

Different PTZ pre-set positions can be assigned to different regions and analytics can be run to monitor each of those pre-set positions.

Camera Tampering

Detection of camera tampering efforts by camera focus change or view obstruction or video cable cut.

ANPR

Number Plate Recognition Cameras allow you to recognize the number of vehicle and along with that it also stored the vehicle log. This camera is used in traffic management and traffic monitoring. It is also called automatic number plate reorganization (ANPR).

Most public spaces in India including railway stations, bus depots, metro stationand marketplaces are often under CCTV surveillance. New Delhi is all set to have one of the largest deployments in the country of CCTVs with the state government announcing plans to install 1.4 lakh CCTVs across Delhi. The India Railways is also setting aside Rs 3,000 crore in its 2018-19 budget to install CCTV systems across 11,000 trains and 8,500 stations, according to a news report.

“AI performs frequent, high-volume, computerized tasks reliably and without fatigue” says Mr. Arindam Das Sarkar, Country Manager, Mirasys India. Mirasys is one of the leader in creating models using deep learning and Artificial intelligence based video analytics in India as well as global market.

Tamper Detection

Quickly get security officers to the damaged camera in areas with high crime rates, where there is a large potential for criminals purposely blocking the camera’s view.

Additionally, several technologies enable and support AI:

·         Graphical processing units are key to AI because they provide the heavy compute power that’s required for iterative processing. Training neural networks requires big data plus compute power.

·         The Internet of Things generates massive amounts of data from connected devices, most of it unanalyzed. Automating models with AI will allow us to use more of it.

·         Advanced algorithms are being developed and combined in new ways to analyze more data faster and at multiple levels. This intelligent processing is key to identifying and predicting rare events, understanding complex systems and optimizing unique scenarios.

·         APIs, or application processing interfaces, are portable packages of code that make it possible to add AI functionality to existing products and software packages. They can add image recognition capabilities to home security systems and Q&A capabilities that describe data, create captions and headlines, or call out interesting patterns and insights in data.

In Aug 2015, West Japan Railway Companymade a great example. After discovering that 60 percent of people hit by trains in Japan are intoxicated, they installed 46 security cameras that automatically search for and detect signs of intoxication. The AIvideo  looks for people who are napping on benches, stumbling, falling, or standing motionless for long periods of time and notifies human attendees who can then check to see if the person is in danger of harming themselves.

Using AI in video analytics, a number of systems will be able to communicate with each helping in taking decisions and readily catching suspicious activities or predicting them before they can happen.

With the advancement of AI, the future of video analytics is not limited to providing stagnant algorithms, but also to having the event and authorization-based alert systems. Wherein, the alerts will be sent only to an authentic person and the relevant department.

This Artical published in Safe secure magazine November 2018 edition.