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Enterprise Security Magazine | Wednesday, September 22, 2021
The advantage of AI-based systems is that they never sleep, practically eliminate false alerts, and give video analytics the true power in real-time.
FREMONT, CA: Artificial intelligence (AI) technology appears to be on track to improve practically every area of our lives. The security business is no exception, as AI-based object recognition and classification provide increasingly reliable data to analytics. The elimination of false alerts is one of the primary benefits, as is the chance to ultimately realize the benefits of analytics for security and business intelligence.
The Consequences of False Alarms
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False alarms disrupt organizations’ day-to-day operations and create significant inefficiencies within monitoring centers. A false alarm frequently requires a company, such as a chain restaurant or retailer, to drive to the area late at night or early the following day to confirm what triggered the burglar detection system. When police officers are dispatched unnecessarily, businesses can face significant fines. At best, store owners must cope with inconvenient after-hours calls or texts from their intrusion alarm supplier.
Integration of on-premises video with alarm systems has resulted in significant improvements in alarm verification, allowing monitoring centers to receive live and recorded video in combination with a burglar or panic alarm. Despite these significant advancements, video verification is still reliant on the decision-making abilities of a live operator, as well as the human eye and its inherent faults. Video verification is challenging in outdoor contexts, where typical alarm triggers are continuous, such as motion detection. Wind, animals, and modest illumination changes can keep a traditional motion detector so busy that it becomes worthless.
AI has the potential to significantly improve the accuracy and efficiency of the existing alarm monitoring operation. Deep learning algorithms powered by artificial intelligence and connected with cameras can now detect people (human motion) and filter out other motions such as shadows, trees, animals, and traffic. This is a game-changer for live monitoring operations, as operators can now rely on motion detection to warn them to the presence of persons in locations they should not be. With so many cameras feeds to monitor, AI-powered analytics operate as a second pair of eyes that never sleep and miss an occurrence. This ensures that operators of live monitoring systems are not spending their time on false alerts.
See Also: Top Artificial Intelligence Companies
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