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Video Analytics’ Impact on Corporate Accountability, Liability and Compliance

By | August 17, 2017

Surveillance technology has changed dramatically in quality, features, and functionality over the last century. The introduction of higher megapixel cameras combined with advanced analytics has enabled security personnel to transfer significant responsibility from onsite security operators to unmanned cameras resulting in a lower total cost of ownership. Today, IP UHD megapixel cameras coupled with intelligent analytics work in tandem to protect facilities, employees, and assets in a more efficient way. As the functionality of surveillance technology grows, so has its capability to provide solutions for businesses beyond just security. With advanced Artificial Intelligence (AI), such as Deep Learning, becoming more prevalent in today’s security world, the latest generation of surveillance technology has incredible analytical solutions for accountability, liability, and compliance to help grow a business.

Artificial Intelligence (AI) technology offers a multitude of benefits for businesses. AI not only decreases or prevents crime but it also helps an owner optimize their operations for higher efficiency. For example, when an unusual behavior occurs, such as someone shoplifting or jumping a security fence, the manager or employee receives an alert to deploy the proper responders. The system can also analyze learned data to prevent a crime from happening such as a person walking back and forth multiple times or carrying an unusually large bag.

Another benefit that Deep Learning AI cameras offer for end users is optimizing employee efficiency. For example, when a retail worker is taking too long to stock a shelf or to retrieve shopping carts, an alert is sent to the manager. This ability can save a business the need to hire additional headcount to monitor employees or help determine which employees are working hard and which ones are not.

Surveillance camera companies are increasingly relying on artificial intelligence to automatically identify and detect problematic and criminal behavior as it happens; however, AI can also help in running a more efficient operation for a variety of applications. For example, a camera with AI can learn the typical time it takes a manufacturing or assembly line to complete specific tasks. If a worker falls behind, the camera detects the abnormality and alerts the supervisor to assess the situation. As a result, a business is able to maintain or increase its level of efficiency based on predetermined rules.

The deployment of a surveillance system means that one can automate the observation of an area or object that would otherwise need the constant presence – and attention – of personnel. But as a camera observes that area, it can now also collect other data– people tracking, intrusion detection, 3D heat mapping and other data which allow one to increase functionality and efficiency at your facility. Cameras with people tracking can distinguish a human from an animal or a branch, based on preset rules. If the rule is broken, an intelligent alert is sent. Facial Detection can be combined with access control as a redundancy to allow only authorized users into a building or area, and to register who is in what location and when.

With analytics installed on a surveillance system, compliance is vastly simplified. AI produces an auditable source of surveillance data and packaged metadata that allows one to easily pinpoint relevant video. For example, one can easily retrieve video and access data to ensure that a safe deposit box or prescription drugs are only being accessed when necessary by authorized users. Intelligent alerts allow you to respond quickly and accurately to developing situations, and to alert authorities if necessary. Heat mapping can help retail environments understand and improve the shopping experience. It can also be used to determine the busiest areas so the right products can be displayed to boost sales. Deep Learning is also be used in the retail industry to identify individuals who are repeat shoplifters through facial recognition.

Analytics enable cameras and recorders to operate more intelligently and efficiently, analyzing video content in real time to improve safety, security, and operations. Features such as motion detection, intrusion detection, and tripwire immediately alert users of unwanted visitors on the premises, while more sophisticated analytics such as heat mapping and people counting allow users to collect valuable data on their business operations. By building analytic capabilities into cameras and recorders, customers are provided with the opportunity to benefit from video analytics without the need for a dedicated analytics server.

Post-forensic analytics offer a user a complete picture of what was occurring at a specific area and time of day for conclusive information that is irrefutable. With this functionality on a system, it’s easier for a business to protect themselves from false liability claims.

Deploying video analytics provides a business with an auditable source of complete data, increasing accuracy and consistency in solving surveillance challenges. Compliance to necessary regulations is simpler with searchable databases that can look for faces or license plates, and object detection can create an alert and a record of any perimeter breaches. With video analytics, protecting a business keeps getting simpler.

About Dahua Technology USA

Dahua Technology USA Inc. is a subsidiary of Dahua Technology, which is estimated to be the second largest supplier of video security equipment in the world according to the Omdia 2020 Market Share Database. Dahua Technology USA brings high-value, total security solutions to the North American market by focusing on integrity and personal relationships to enhance the customer experience. Dahua Technology’s security solutions, from award-winning cameras to video management software, deliver unparalleled quality, reliability, and stability, providing sales and support throughout the U.S. and Canada.

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