DH-IPC-HFW4443F-ZYL

Built in GPU chip, supports deep learning algorithms, effectively improves detection accuracy. Supports face detection: supports tracking, optimization, capture, reports the best face capture, supports face enhancement, face exposure, supports headcount statistics, and supports queue management; Support for counting the number of people in the area, entering/leaving, and generating daily/monthly/annual reports on the number of people. Export and use support for wire intrusion, area intrusion, fast movement, item retention, item movement, wandering detection, personnel gathering, parking detection. High performance 4 million pixel 1/3 inch CMOS image sensor is used for low light effect, high image clarity output of 4 million (2688 × 1520) @ 25fps. Supports H.265 encoding, high compression ratio, ultra-low bit rate built-in high-efficiency infrared fill light, maximum fill light monitoring distance of 100 meters. Supports corridor mode, wide dynamic, 3D noise reduction, strong light suppression, backlight compensation, digital watermark, suitable for different monitoring environments, supports ROI, SVC，SMART H.264/H.265， Flexible encoding, suitable for different bandwidths and storage environments, supports built-in MIC, supports up to 256G Micro SD card, supports DC12V/POE power supply, convenient for engineering installation, supports IP67 protection level