Your surveillance system might be the chink in your armour. Make it fool-proof with AIVI

Dozens of digital eyes peer at us today – guarding us from the moment we step out of our homes, and sometimes even before. We have surveillance cameras watching over our gates, our roads, and our offices, and even overseeing us in shops, malls, and ATMs.

Between Chennai, Hyderabad, and Delhi being among the top ten cities in the world with the highest number of CCTV cameras per square kilometre, and video surveillance buttressing Indian investigative agencies as they crack violent cases – these cameras have already proven themselves to be indispensable. It is, therefore, imperative to have cameras surveying your company’s premises, and to use them as the bedrock of your business’ security structure.

But these digital eyes are only as good as their human counterparts monitoring a feed. CCTVs’ watchful presence might prove to be a powerful deterrent, but their passivity results in complete reliance on external forces for intervention. These days, law enforcement too depends on captured footage to solve crime.

Things are changing, however, with AIVI (Artificial Intelligence Vision) – the tool that effectively marries computer vision algorithms with data-driven learning of Artificial Intelligence. Installing AIVI technology amplifies a company’s video surveillance system, transforming billions of hours of footage from an overwhelming wave of monotony into an organized database to apprehend perpetrators.

Here are six ways in which computer vision can help your company reduce security risks:

Identification

Cameras with AIVI are significantly more adept at recognising and labelling objects – whether human, vehicle, or weapon. Installing this technology is an easy investment, especially considering most facilities are equipped with CCTV cameras.

This intelligence elevates an average camera, making it accurately identify a human presence even in the case of a partial capture. This process can even be widened to study people’s proportions and gaits, and can be trained to identify people based on these traits – even during less than ideal circumstances.

Facial recognition

The specificity that computer vision-powered cameras allow for, based in the technology’s pattern-recognition techniques, enables them to verify the identity of individuals based on extremely distinct features – like biometric identification through iris and retina scans. By extension, this technology allows for digitising all company documents since signatories can be corroborated through this highly precise process. These modes of biometric authorisation simplify and solidify security processes, and consequently reduce the scope for fraudulent activities.

Future forward

With the possibility of analysing movements and recognizing suspicious behavior in real time, and immediately notify authorities. Something as minute as a deceitful glance can be captured. From ringing alarms exactly when an item is shoplifted, to alerting authorities, vision intelligence turns CCTV cameras into a proactive part of cracking crime. Computer vision can also identify contextually dangerous behavior – such as a worker showing signs of fatigue and dozing off while operating high-risk equipment.

Outside of security concerns, these AIVI capabilities can track behavior to provide detailed insights into what stakeholders and business partners respond to positively and negatively on company premises. Just tap into the data AIVI gathers on your organisation’s performance indicators – from customer satisfaction to client retention rates.

Omnipresence: Computer vision can monitor all visitors on the premises, and alert security teams in a fraction of a second if an attempted robbery or security breach is occurring. The response – such as locking down the area – can be immediate. This promptness, along with hyper-specific discernment, enables security teams to share access privileges on an individual level, and allows them to even track miscreants through vision intelligence.

Furthermore, critical assets can be surveilled in real time – whether they are highly valued technologies or cash. AIVI’s collection of historical data and pattern-learning capabilities can even offer a guide to where human resources need to be focused to strengthen the company’s security structure. And in case the crime has already occurred, security personnel can rely on the database to sift out relevant information within seconds – whether that detail is a man in a blue shirt, or a license plate. Computer vision – through a technique called “generative adversarial networks” – even offers the ability to enhance and recreate images, providing security teams more valuable visual details around critical incidents.

Safety measures: The midst of a raging pandemic, AIVI-enabled cameras can ensure that employees and workers socially distance on the premises. This technology can also alert workers who are dangerously close to hazardous equipment, or toxic substances.

Computer vision’s deep learning faculties can also understand manufacturing and standard operating procedures, and make sure materials and processes are being handled safely on the factory floor.

Similarly, AIVI can track statutory compliance and make sure the company adheres to rules and regulations including the Factories Act, Shops and Establishment Act, and even Sexual Harassment of Women at Workplace (Prevention, Prohibition, and Redressal) Act.

Quick training: Newly hired employees can receive access privileges based on their scope of work. AIVI’s expanding database can also serve as an exhaustive resource when it comes to training workers on standard operating procedures, and areas that need the focus of increased human resources – for instance, deploying more security personnel at risk-points.

Computer vision capabilities don’t replace human resources, rather they enhance and augment manned security systems. AIVI’s surveillance offerings can predict critical security instances before they occur, prevent them from happening through a real time warning system, and protect you and your company’s valuable assets. This is an irrefutably reliable way to make your security systems proactive and fortified.

SLIP, TRIP, FALL – Four-letter problems with a 4-letter solution

One of the leading causes of workplace injuries is STF – an abbreviation for the three dreaded words, namely Slip, Trip, and Fall. In Australia, there are more deaths from Slips, Trips, and Falls than there are from fires. In the USA, more than 2000 people need emergency medical care after a slip and fall accident every day, the medical bills for which can often run into astronomical figures of USD 30,000 per case. On an average, 11 working days are also lost as a result of slip and fall injuries. Hence, it is no wonder that insurance claims for incidents involving STF run into billions.

Most STF cases are caused by a lack of active monitoring and shortcomings in safety practices. In fact, negligence is identified as the main reason for STFs and proving it is the easiest route for an accident victim to claim compensation. It is now acknowledged that Slip and Fall accidents are a public health problem because they are so common and costly.

Many slip and fall accidents are preventable and several nations have guidelines for employers to keep workplaces safe and minimize the chances of accidents. If businesses and individuals take the initiative to keep their property safe for customers, other guests, and employees, then they can take preemptive action and prevent these accidents before they happen.

This is where AIVI (Vision enabled Artificial Intelligence) can play a leading role.  AIVI is a technology platform developed by AI experts Cogniphi; it enables an easy and practical solution that can help to continuously track, monitor, and send out real-time alerts whenever there are any shortcomings in safety practices at work places. Be it a poorly lit corner or a slippery surface or a poorly maintained walkway and badly stacked goods, AIVI technology can detect these problems and flag them before disaster strikes.

The AIVI Artificial Intelligence software, which harnesses the power of Computer Vision and Data-driven Learning, works with existing or newly installed camera hardware to detect anomalies in a series of existing conditions and practices followed at retail outlets, factory floors, gas stations, hospitals, nightclubs, or any other workplace. Through its Machine Learning capability, AIVI filters approved conditions and keeps updating itself so as to fine tune its algorithms for pattern recognition and become a literal third eye that warns you of inadequacies in real-time. Solutions deployed can also be taught to learn new patterns and anomalies, and adapt to varying needs as well as build predictive systems.

Even in cases where a Slip, Trip, and Fall does happen in a situation monitored by an AI-enabled video, the instant detection of a Fall can be rapidly relayed to the authorities concerned and illicit a quick response instead of delayed medical care. Timely handling of an STF injury can lead to lesser damage for the person and company.

Talk to Cogniphi and get a further feel of how Vision Intelligence can predict and prevent STF accidents and save your business immense loss caused by Negligence.

A working technology for Loss Prevention in Retail

Inventory loss, also known as Shrink or Shrinkage, is a BIG problem in the retail industry. Usually caused by shoplifting, employee theft, and neglect, this accounts for 2 to 2.5% of Sales, which means a lot of potential revenue disappearing into thin air. Add the Corona Virus pandemic to that and you have Health safety too in the Problem mix.

Which is why more retailers are developing and implementing strategies for their store and earmarking budgets into in-store security measures to track and deter inventory losses, improve performance and support safety.

Digital technologies are constantly projected as the answer as future-proof options for retailers. One of the most widely discussed technologies is artificial intelligence (AI), and one of the forms of AI most easily applicable to the retail environment is Vision.

How does Vision Intelligence work?
Artificial Intelligence in Vision is an emerging technology that enables retailers to harness the power of video to automate the process of identifying and alerting threats in real time. It attempts to enable computers to “see” and understand, in much the same way as the human eye and mind. Computer algorithms use deep learning models to process visual content received from cameras to identify and classify objects. They further analyse for distinctions such as shapes, colors, borders, spacing, and other patterns to build a profile in such a manner that the software will be use this learned data to find other images that match that profile.

Solutions for Shrinkage already exist
Vision Intelligence is already in use to provide traffic and behavior analytics by using real-time, accurate visitor counts and classification, so retailers can understand customer traffic by knowing a customer’s path through the store, where they spend time, and how much time is spent there. Its deep-learning features also provide insights into behaviors and demographics, which can help in optimising marketing, sales, and rewards programs.

Facial recognition is another form of the technology that has been tested and proven in retail. It is particularly useful in helping retailers detect shoplifters and alert when known bad eggs are in the parking zone or about to enter the stores.

Advanced solutions have also been implemented that detect real-time potential loss of billing caused by BoB (unemptied items at the Bottom of the Basket/Trolley), or “Sweethearting” or “Buddy billing” (neglecting to scan all of a friend or family member’s items) or No billing at self check-out counters.  The software can also be taught to identify definitive pattern of habitual shop lifters, like loitering in parking lots, and to recognize actions like putting objects into a pocket or a handbag.

Pandemic Challenge
Existing Computer vision technology can be easily adapted to address challenges caused by the Covid pandemic, such as temperature screening, mask compliance, and social distancing. Thermal imaging, originally intended to detect intense heat for early indication of fire, can be used to screen temperature and detect elevated body temperature of individuals entering a facility. Mask detection used to identify a person as a robbery threat can be adapted to detect a face mask for health compliance. Facial recognition that helps to determine unique customer counts can also now allow retailers to stay within social distancing guidelines.

Investing small

Vision AI has the great advantage of being a flexible technology. Data with a visual context already exists. It is up to you to do what you want with it. Investing in solutions on a small scale to begin with makes absolute sense. That won’t prevent you from being able to expand its use seamlessly in the future, meaning it is future-proof. You can adopt a particular solution to integrate with your retail loss prevention method in any way that you think fit.