HI8A86GXZHSY

IDS-2CD8A86G0-XZ(H)S(Y)

Hikvision

Securely monitor your surroundings with the DeepinView iDS-2CD8A86G0-XZHSY 8MP Outdoor Dual-Sensor Network Bullet Camera from Hikvision. This dual-sensor unit uses a 1/1.2" progressive scan CMOS sensor to capture 4K UHD resolution video at 24 fps, along with a 1/1.2" progressive scan CMOS sensor to capture 2560 x 1440 resolution video at 30 fps. The 4K sensor provides a night vision range up to 394', while the 4MP sensor provides a night vision range up to 98'. A 10-50mm varifocal lens delivers a 36 to 13.1 horizontal field of view, while a 4mm fixed lens delivers an 89 horizontal field of view. Two-way audio is possible thanks to an audio input and output. A memory card slot accepts microSD/SDHC/SDXC cards up to 256GB (available separately). Integrated PoE technology simplifies connectivity by enabling the transfer of power and data through a single cable. This camera complies with ONVIF profiles G, S, and T, making it compatible with a wide range of surveillance devices. It is housed in an IP67-, NEMA 4X-, and IK10-rated aluminum enclosure for outdoor use in areas at risk of vandalism. An integrated heater ensures that the camera will be operational in temperatures as low as -40 F. Deep Learning FunctionsNone Multitarget detection supports simultaneous detection (60 targets) and capture of the human body, face, and vehicles (7 face features, 13 human body features, and 2 vehicle features)None Face capture detects up to 120 faces simultaneously, supports left and right swings from -60 to 60 , tilt up and down from -30 to 30 , and uploads face with background and close up face imagesNone Face comparison supports up to 10 face libraries (30,000 faces for each library), 150,000 faces in total, and face library encryptionNone Perimeter protection with support for alarm triggering by specified target types (human and vehicle)None Road traffic and vehicle detection enables a blocklist/allow list up to 10,000 records, supports license plate recognition of motorcycles (only in checkpoint scenario), supports vehicle attribute detection (vehicle type, color, brand, etc. City street mode is recommended), and delivers a 98% license plate recognition