Face Recognition
With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, tracking, capturing, grading and selecting. The camera captures the face and outputs the features, such as gender, age, and expression. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality.

Perimeter Protection
With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc.

Multi-Target-Type Recognition
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region and outputs the features, such as gender, age, top color, and vehicle type.

Road Traffic and Vehicle Detection
With embedded deep learning based license plate capture and recognition algorithms, the camera alone can achieve plate capture and recognition. The algorithm enjoys the high recognition accuracy of common plates and complex-structured plates, which is a great step forward comparing to traditional algorithms. Blocklist and allowlist are available for plate categorization and separate alarm triggering.

• High quality imaging with 4 MP resolution in channel 1 and 4 MP resolution in channel 2
• Adopt dual-channel design so you can get details in channel 1 and panorama view in channel 2
• Excellent low-light performance via DarkFighter and ColorVu technology
• Clear imaging against strong back light due to 140 dB WDR technology
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)