As a founder of an innovation company with a platform strategy in the field of Robotics, AI, and Automation, we firmly believe that deep learning models for CCTV and surveillance are the future. Over the years, we have witnessed the incredible growth of the security and surveillance market, and we have also seen the exciting opportunities that this market presents. Research reports indicate that the global video surveillance market is expected to grow from $45.5 billion in 2020 to $74.6 billion by 2025, with a CAGR of 10.4% during the forecast period (Source: MarketsandMarkets). Another report states that the deep learning market is expected to reach $10.2 billion by 2025, growing at a CAGR of 39.7% during the forecast period (Source: Grand View Research). These numbers prove that the future of CCTV and surveillance lies in deep learning models.
Industry experts agree that deep learning models are the way forward when it comes to CCTV and surveillance. According to Adam Scraba, the CEO of Deep Vision AI, “Deep learning models have the ability to recognize patterns and anomalies that humans might miss. This makes them ideal for CCTV and surveillance applications.” Similarly, Mounir Kamal, the CEO of Smart4Tech, believes that “Deep learning models are the key to unlocking the full potential of CCTV and surveillance systems. They can help businesses identify potential security threats before they become a problem.” These experts highlight the benefits of using deep learning models for surveillance, including the ability to detect and analyze patterns, recognize anomalies, and identify potential threats.
Five years ago, we developed the Sentinel line as part of our research initiative to assess a robot’s AI abilities based on deep learning. We further developed and perfected this deep learning module within The Origami PlatformTM (formerly Dynamix) to create a layered, multi-sensor approach to objects and event detection. As a result, we officially launched Sentinel as a security and surveillance framework built on The Origami Platform in the fall of 2017. Over the years, we have continued to evolve Sentinel and have launched Sentinel HomeTM to address the home security and surveillance market, as well as Sentinel PrimeTM to address the safety and surveillance of industrial and commercial markets.
Sentinel PrimeTM is a state-of-the-art surveillance framework designed specifically for managing the safety and security of industrial and commercial environments. It intelligently integrates with and extends your closed-circuit TV (CCTV) system and proactively monitors activities on your behalf. With its artificial intelligence capabilities, Sentinel PrimeTM can recognize and alert you of any potential or imminent threats. This provides your security personnel team with real-time notifications, giving them precious time to address and neutralize the situation before it escalates further. With Sentinel PrimeTM, you can customize and dramatically strengthen your security surveillance, giving you control, confidence, and the ability to address situations well in advance.
In conclusion, the future of CCTV and surveillance lies in deep learning models. The market is expected to grow exponentially, and industry experts agree that deep learning is the key to unlocking the full potential of CCTV and surveillance systems. At our innovation company, we have developed Sentinel PrimeTM, a state-of-the-art surveillance framework that uses deep learning models to proactively monitor activities and detect potential threats. With Sentinel PrimeTM, businesses can customize and strengthen their security surveillance, providing them with the control, confidence, and ability to address situations well in advance.
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