Traditional CCTV technology has matured to the point where artificial intelligence-driven video analytics has pushed to the forefront. As the industry has evolved, this technology is steadily moving to replace standard CCTV solutions as we have known them.
Video analytics technology has come a long way over the last few years as its capabilities and accessibility has expanded. In previous years, off-site monitoring and CCTV solutions were the go-to standard for homeowners, communities and businesses. However, with advances in artificial intelligence and deep data, the use of smart camera technologies has skyrocketed. In South Africa, more suppliers offer smart camera solutions, and in the private security industry, the race is on to up the ante in terms of technological superiority.
This fierce competition has seen a reduction in camera solution pricing, but further, with the advances to server- and camera-processing power, analytics has seen a boom in a variety of environments. Private security companies and their suppliers are more commonly offering smart analytics camera solutions to their customers as an entry point, with traditional CCTV used as a backup offering for customers who do not have the capability or infrastructure to support the new technology.
Transforming video into actionable data
Although video cameras and footage is widely regarded as crime prevention tools, their uses have expanded into numerous environments including retail analytics, facial recognition access, transport and smart cities for customer engagement, staff and operational efficiency as well as traffic and tourism. By incorporating artificial intelligence and deep data capabilities this technology can process video data faster and more effectively than through human monitoring. With more intelligence available and the expanded use, organisations and individuals can harness the power of video for actionable insights.
Ultimately, the crux of why this technology is rapidly growing is partially due to faster and better decision-making with less interaction from humans. With the great strides made in improving effectiveness, cost, and increased accessibility the primary function of analytics has been to complement the role of system operators.
This assistance helps operators make informed decisions by identifying unusual activity from large amounts of footage. It also reduces operator fatigue in which operators become desensitised to mundane footage and potentially miss something unusual when viewing multiple camera feeds. It in effect increases the number of feeds that can be monitored simultaneously.
Better analytics offers more reliable information, sooner, which assists with improved response time and effectiveness.
For more information, contact Fidelity-ADT, +27 11 697 7271, [email protected], www.adt.co.za
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