‘SHORTS’ VS THE FULL PICTURE! AI in video surveillance.
Gautam Goradia
'BETTER' AI VIA DAILY AUDITS - Write to [email protected] to learn how we generate site-specific frontier data for custom models, overcome the data wall, and make RLHF & XAI work—all while democratizing AI.
Artificial Intelligence (AI) in video surveillance is like ‘SHORTS’. Akin to ‘shorts’, AI provides a snapshot, a brief insight into a larger scenario. This snapshot may be beneficial, or it may not. But regardless of its value, it is you, the observer, who has to interpret it.
The Dazzling Mirage of AI
In the sphere of video surveillance, there’s a plethora of buzzwords thrown around. “AI-powered”, “Edge computing”, “Deep learning” - these terms are often used as glittering trinkets to enthrall potential customers. But as the adage goes: “All that glitters is not gold”.
AI technologies are not all-knowing. They can only execute tasks they’ve been specifically programmed for. They stumble when confronted with unforeseen or unfamiliar situations. The world of surveillance is fluid and unpredictable. Automated technologies will therefore not always rise to the occasion.
Moreover, AI’s triumph in one domain doesn’t guarantee its effectiveness in another. Each application of AI requires specific training and fine-tuning. Just because AI excels in natural language processing or image recognition doesn’t mean it will perform equally well in video surveillance.
The Concealed Expenses of AI
Managing high-resolution feeds from hundreds or thousands of cameras demands substantial processing power and storage capacity, leading to significant hardware and software costs. AI technologies require continuous training to enhance their accuracy and adapt to new situations. This necessitates a high investment of time and resources, which is often downplayed in the sales pitch.
The Human Element
Despite the allure and hype surrounding AI, it does not and will not deliver optimal outcomes in video surveillance. AI is a tool, not a substitute for human judgment. Even when AI systems provide suggestions or insights, human oversight is always necessary to make final decisions.
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Enter COM-SUR?
COM-SUR addresses these challenges in innovative ways. It eliminates the need for encoding/decoding, making playback of the images created by COM-SUR as smooth as silk. By ‘capturing’ multiple cameras as a single image, COM-SUR significantly reduces the data size, alleviating storage and network load.
COM-SUR works with all types of cameras; CCTV, Drones, Body-Worn, Dashcams, and even videos shot using Mobile Phones. It offers exceptional investigative features including forensics filters, frame matching, exceptional Pan and Zoom, and also one-click reporting in PowerPoint, Word, etc.
The Importance of Daily Auditing
Daily auditing of CCTV footage is crucial for several reasons. It provides the complete context of what the camera saw, ensuring that no detail is missed. Regular auditing can help detect anomalies or incidents that might not trigger motion detection or other automated alerts.
Conclusion
COM-SUR, with its innovative approach, provides a comprehensive solution for surveillance footage auditing, smart backup, and standardized intelligent incident reporting. It transforms a surveillance system from a reactive security tool into a proactive, intelligence-gathering system.
The future of CCTV/surveillance footage auditing is not just here, it’s been redefined, and it’s spelt ‘COM-SUR!’ The next time you think about AI in video surveillance, remember the ‘SHORTS’ analogy. It might just give you a new perspective.
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Activate Innovation Ecosystems | Tech Ambassador | Founder of Alchemy Crew Ventures + Scouting for Growth Podcast | Chair, Board Member, Advisor | Honorary Senior Visiting Fellow-Bayes Business School (formerly CASS)
6 个月AI complements audits for comprehensive video surveillance.