High quality imaging with 4 MP resolution in channel 1 and 4 MP resolution in channel 2. It adopts a dual-channel design, allowing you to capture details in channel 1 and a panorama view in channel 2. Excellent low-light performance is achieved via DarkFighter and ColorVu technology. Clear imaging against strong backlight is ensured by 140 dB WDR technology. Efficient H.265+ compression technology helps save bandwidth and storage. The device supports 5 streams to meet a wide variety of applications. It is water and dust resistant (IP67) and vandal proof (IK10).

Face recognition: With embedded deep learning-based algorithms, the camera can provide the best shot of a target face by detecting, capturing, grading, and selecting. The face exposure function dynamically adjusts the exposure of the face area in captures, ensuring high-quality face images.

Perimeter protection: Utilizing embedded deep learning-based target detection and classification algorithms, the camera monitors actions such as line crossing, intrusion, region entrance, and region exiting. The algorithms effectively filter out false alarms caused by interference from leaves, lights, animals, flags, and more.

Multi-target-type recognition: The camera detects and captures faces, human bodies, and vehicles within specified regions using embedded deep learning algorithms.

Road traffic and vehicle detection: With embedded deep learning-based license plate capture and recognition algorithms, the camera can achieve plate capture and recognition independently. The algorithm boasts high recognition accuracy for both common and complex-structured plates, marking a significant improvement over traditional algorithms. Blocklist and allowlist features are available for plate categorization and separate alarm triggering.