Artak Martirosyan

AI is changing the field of automated security and public safety. Security cameras or CCTV are essential for any security infrastructure, but a lot of footage is never used because analyzing so much data is almost impossible. AI cameras use machine learning (ML) and deep learning (DL) to recognize data patterns, detect movement, and record high-quality images while avoiding unnecessary information. Video Content Analytics (VCA) is the automatic analysis of video content that detects temporal and spatial events. DL has been introduced to VCA, allowing users to search and clean videos based on specific rules, preserve situational perception, and issue operational intelligence. AI cameras can be used for object detection, people counting, facial recognition, traffic and road safety, and video forensics. They offer plentiful benefits, such as working 24/7 without ever getting tired or needing to take a break. As technology advances, the quality of modern security cameras will continue to rise, and better and smarter AI will be able to shorten the time it needs to learn the differences in video and audio footage. More detailed you can read here

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As AI (Artificial Intelligence) technology advances, it significantly impacts automated security and public safety. Modern security cameras, such as smart cameras and WiFi Smart Cameras, are essential components of security infrastructure. However, much of the recorded data remains unused due to the sheer volume of footage. AI and machine learning are transforming modern security cameras by enabling them to recognize data patterns and learn from them. Deep Learning (DL), a sophisticated subset of machine learning, allows cameras to process humans, vehicles, and more, detecting movement and recording high-quality images while filtering out unnecessary information. DL plays a crucial role in Video Content Analytics (VCA), which refers to the automatic analysis of video content to detect temporal and spatial events. By incorporating DL into VCA, video intelligence solutions can speed up investigations, maintain situational awareness, and provide operational intelligence through data visualization. AI cameras have various applications, including object detection for video recording and alarm alerts, people counting, facial recognition, traffic and road safety monitoring, and video forensics. These cameras offer numerous benefits, such as 24/7 operation without fatigue, reduced workload for security personnel, and continuous improvement as technology advances. As AI continues to evolve, modern security cameras will become even more efficient and effective, providing users with greater peace of mind. More detailed version here

When installing a security camera system, one common question is, "How far can my surveillance camera see?" The recording distance of a security camera depends on factors such as lens size, resolution, and sensor type. Typically, a security camera can see and record between 10 to 70ft, but some cameras can see over 1,000 feet. The focal length, or the distance between the center of the lens and its focus, is crucial in determining the camera's viewing distance. A trade-off exists between the field of view (FOV) and viewing distance: a wider FOV captures more area but with less detail, while a narrower FOV offers more detail but covers less area. Cameras with fixed lenses have a set focal length, while modern IP cameras feature varifocal lenses that can be adjusted for different FOVs and distances. PTZ cameras have motorized varifocal lenses, allowing remote control of the lens size and focal length during recording. These cameras can capture details up to 300 feet away, but they are expensive and bulky. Resolution is another essential factor, as higher resolution cameras produce clearer images. High-definition cameras are now more affordable, and 8MP or 4K cameras with varifocal lenses are a good option for capturing clear images at various distances. By installing cameras close to monitoring spots, you can recognize faces and license plates even at greater distances. More informative article here