Using AI to transform the Video Monitoring world in real-time
Last Updated on April 24, 2021 by Team Wobot
In the last two decades, the world of monitoring has changed beyond recognition. The criminals are smarter now and have become virtually anonymous. The security threats unheard of in the nineties are now a reality. Human intelligence is limited, often flawed, and is incapable of dealing with security threats in real-time. Today, our cities have more cameras than ever before and yet the threats manage to slip through. The recorded footage has to be monitored by human resources which are costlier and time-consuming as well as limited in its capacity. With the advent of artificial intelligence, there is no need to manually sift through hours of video footage to catch a criminal or monitor activities in stores or offices. A camera backed by artificial intelligence can easily process every inch of security footage in real-time and red-flag the threats in time to save lives and resources. This blog will explore the impressive capabilities of AI in different industries that have proven to be highly beneficial for businesses around the world.
Artificial Intelligence for Safety and Security Operations
With its self-learning capabilities, AI quickly learns to sift through a sea of data fed to it on a daily basis to recognize the normal behavioral patterns. Based on these data patterns and behavioral modulations, artificial intelligence can identify risky situations and thus, help in controlling them, before they escalate. AI can alarm the police in real-time, in cases of suspicious activities, like people loitering around in masks at night at a particular place continuously, or if there are any unrecognized items like briefcases.
One of India’s most reputed finance companies had deployed Wobot’s AI-enabled security system in their branches to detect intrusions at night, violation of entry restrictions in the strong room, suspicious activity like hand raise in case of burglary. One crucial checkpoint for the company was gun detection (if someone is pointing a gun at anyone in the branch). To prevent and reduce damage from gun-related crime, it was vital to have the data and tools to detect such suspicious activity. Wobot created an augmented gun detection dataset to notify and raise alarm in case of violation thus helping the finance company in managing the security of their branches without the need for human monitoring.
Around the world, the Singapore Government in collaboration with Accenture, developed an AI solution which helped in managing high crowd activity, crowd size estimation and object detection with 85% accuracy at SG50 celebrations.
A recent study, ‘Value of Data Seeing What Matters – A New Paradigm for Public Safety Powered by Responsible AI’ concluded “Integrating artificial intelligence and analytics with public safety’s current closed-circuit televisions can transform the ecosystem from reactive to proactive, reducing US crimes by about 81.7 million by 2040 and shielding approximately 76,000 mass shooting victims by 2040.”
Artificial Intelligence for Detecting and Preventing Fraud
Stores, retail chains, offices, etc. are always wary of theft. If it’s an insider job, it becomes very difficult to catch the culprits. Physical monitoring with its limitations poses a significant security concern. According to the National Retail Federation, the inventory loss due to shoplifting, employee theft, or other errors and fraud resulted in the loss of $61.7 billion in the United States in 2019.
However, cameras fortified with video analytics are almost impossible to deceive. Algorithms fed to the system can easily detect shoplifting, internal theft, etc., and alert the security and law enforcement agencies in real-time to stop the theft. The risk of being caught is a powerful deterrent and can keep businesses safe.
Artificial Intelligence and Healthcare Industry
The applications of AI are not limited to law and order but have also shown their usefulness in the healthcare sector. Governments all around the world have imposed multiple restrictions to contain the spread of Covid-19 but these are more often violated than complied with. With the reopening of public spaces and transport, there is a real risk of new hotspots emerging as businesses and people knowingly or unknowingly, violate the guidelines. Artificial Intelligence integrated into existing CCTV cameras to monitor the public places, can analyse the data in real-time to alert the public officials about the safety violations. Businesses not complying with the sanitary or crowd control guidelines can be easily recognized and warned. Video analytics can analyze if a particular place is being sanitized regularly, or whether staff and people are wearing masks as per the guidelines. This allows the security personnel to take action in a timely manner to avoid another hotspot.
Social distancing plays a vital role in containing the Covid-19 virus. A camera equipped with AI can identify if people are maintaining social distancing norms or not. Many companies are utilizing social-distancing detection tools with AI enabling technologies to ensure that the employees are adhering to the social distancing guidelines so as to prevent the occurrence of new hotspots.
Artificial Intelligence and the Retail Industry
Video analytics provide useful analysis to retailers by recognizing the areas where the customers spend time and shop, through heat mapping. It can also help in recognizing the busiest hours of the day or the week and thus help in enhancing the customers’ shopping experience. It can also significantly help in reducing inventory loss as the data records can provide insights regarding the normal working hours, employees handling the inventory and other useful details.
Summing up, it can be said that the world has just started to realise the potential of video analytics. Its applications can take monitoring to new heights. It can make the world a much safer place but with great power, comes great responsibility. If left unregulated, it can become unmanageable and hence, the ethical norms of monitoring need to be worked out by the governments around the world.
Our product, Wobot.ai, is an AI-powered video analytics application. It helps organizations across food services, retail, manufacturing and healthcare, to leave behind the challenges of manual video monitoring and adopt AI-driven monitoring.
Wobot has been adopted by top brands across the world. To check more about Wobot.ai and how it helped Cure.fit, one of India’s largest healthcare and fitness companies in handling its hygiene, safety, and day-to-day operations, click here: Cure.fit Case study.