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GithubIn scenarios such as smart access control, attendance systems, and community security, traditional methods like IC cards and password recognition offer low security, high maintenance costs, and struggle to achieve truly seamless "contactless passage.
To this end, smart security equipment manufacturers have introduced SingTown's OpenMV smart camera AI image recognition technology. By leveraging machine vision, AI image recognition, and edge-side AI deep learning algorithms, they have built an efficient, low-power embedded facial recognition system, achieving intelligent upgrades in identity verification, access control, and behavior analysis.

Intelligent security equipment manufacturers adopt SingTown's OpenMV smart camera recognition technology to construct a facial recognition system based on AI machine vision and deep learning algorithms.
The system utilises the OpenMV intelligent camera to capture facial images in real-time, employing built-in image recognition visual algorithms for facial detection, feature extraction, and identity comparison, thereby achieving rapid and accurate identity recognition and authorisation determination.
The system can construct highly targeted edge-side AI models to meet fragmented needs: employing Face Landmark algorithms and Face Embedding models, it extracts features of facial structure, contours, and skin tone, and performs feature matching locally.
Leveraging the edge computing capabilities of SingTown Technology's OpenMV, both recognition and comparison can be completed on the device side without the need to upload to cloud servers. The recognition latency is below 200 milliseconds, ensuring real-time performance to achieve low latency (<200ms) and high privacy protection. This embedded edge-side AI vision solution possesses scene generalization capabilities. When faced with varying lighting, angles, and occlusions, the automatic exposure, white balance, and dynamic range optimization functions of the OpenMV smart camera ensure image clarity and maintain stable and effective recognition stability and sharpness.
This solution can be widely applied in scenarios requiring edge deployment, such as smart access control systems, enterprise attendance terminals, community visitor management, and campus security. Leveraging SingTown's software and hardware platform, manufacturers can swiftly complete device integration and algorithm deployment, creating a low-power, high-security facial recognition system.
Through SingTown Technology's OpenMV intelligent camera edge-side AI image recognition technology, the smart security industry has achieved a leapfrog upgrade from "data recording tools manual verification" to "AI visual recognition," making facial recognition a truly secure and convenient identity key.

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