Video Analytics
What is Video Analytics?
At a time when scientists had yet to fully understand how the human brain processes visual images, recognizing physical shapes and sizes, movements and actions, research engineers and other visionaries were already at work trying to harness new technologies and the exponential growth of micro processing power to create artificial video intelligence.
Early efforts focused on developing computationally intensive algorithms capable of processing the massive amounts of digitized data captured by video cameras. Concept systems proved that -- with virtually unlimited processing power, transmission bandwidth, and funding -- computers could be programmed “to see.”
When CCTV Dominated
At that point, CCTV technology had dominated the security industry for almost four decades, with an estimated 80-100 million surveillance cameras deployed in security systems around the globe.
CCTV systems have two critical weaknesses:
- Studies prove that people cannot watch multiple TV monitors with any comprehension for more than 20 minutes per hour; and
- All that video tape is only useful for forensic purposes (Post Event Analysis). Bottom line, CCTV is useless in preventing security breaches. A fact that was of little concern when the security mission for both public and private sector organizations was to protect facilities, equipment, and people against theft and other criminal activity.
Then, the events of 9/11 brought an unprecedented sense of urgency to the need for better security systems.
New Times Require Intelligent Video Surveillance Systems
R&D efforts in the
First-generation video analytics solutions analyzed surveillance video in real-time, identifying potential security threats as they developed, enabling private business and government organizations to respond immediately, and preventing serious security breaches. Since video analytics is based on digital technology, video surveillance was migrated from the analogue world of CCTV to the digital IP-based network environment.
Video Analytics Runs on Bandwidth
Even as technology was improving, the video analytics industry encountered an unanticipated problem: limited availability of network bandwidth. Because traditional security systems had always used separate dedicated CCTV networks, IT professionals had not planned for the bandwidth requirements of this new surveillance technology, and thus had limited resources to allocate to it.
Access Security Limited adopts Revolutionary Technology
Committed to overcoming the technological limitations and high costs that plagued typical video analytics systems, Access Security adopts the groundbreaking IPoIP™ (Image Processing over IP) technology, eliminating the trade-off between high-end video intelligence needs and exceedingly high costs while delivering the highest levels of reliability and functionality, with significantly lower costs and bandwidth requirements.
Easily integrated with analogue CCTV systems and easily customized for specific industry infrastructures, the Access Security solutions provide automatic event detection, scene analysis and detection alerts enabling both public and private organizations to meet the security and business intelligence challenges of the 21st century.
The Future of Video Analytics
Now, video analytics is moving beyond security into the world of business intelligence, producing unprecedented amounts of actionable data. Forward-looking users of video analytics security systems quickly discovered those systems can also deliver video intelligence related to business processes just as accurately and efficiently. And in doing so, they have delivered systems that effectively double as business process monitors; with huge dividends for the adopting operations and the people they serve.