Based on the retinal imaging principle, it adopts dual-sensor architecture and dual-light fusion technology to provide an excellent image visual experience. At very low brightness, color picture quality like in daytime
The embedded deep learning algorithm uses massive pictures and video resources as the roadbed, and extracts the target features through the machine itself to form a deep face image for learning, which greatly improves the detection rate of the target face.
Based on the retinal imaging principle, it adopts dual-sensor architecture and dual-light fusion technology to provide an excellent image visual experience. At very low brightness, color picture quality like in daytime
The embedded deep learning algorithm uses massive pictures and video resources as the roadbed, and extracts the target features through the machine itself to form a deep face image for learning, which greatly improves the detection rate of the target face.
Support 3 smart resource mode switching: hybrid target detection, face capture, smart event
Hybrid target detection: supports face and human target detection, can track and score targets, and output optimal snapshots and attribute extraction
Face capture: Supports detection, tracking, capture, scoring, and screening of moving faces, and outputs optimal face capture and attribute extraction, and can detect up to 30 faces at the same time
Smart events: support out-of-bounds detection, area intrusion detection, entry area detection, leaving area detection, loitering detection, people gathering detection, fast motion detection, parking detection, item left detection, item retrieval detection Measurement
Support mixed fill light, face capture 3~6 m, general monitoring 30 m
Supports 2560 × 1440 @25 fps real-time frame rate for smoother images
Supports fog penetration, and has a variety of white balance modes to meet the needs of different scenarios
Support open network video interface, ISAPI, SDK, Ehome, GB28181, view library, GB35114 (/JM model support) protocol access, support EZVIZ platform access
Support five-stream technology, dual-channel high-definition, support simultaneous 20-channel streaming
Support Micro SD/Micro SDHC/Micro SDXC card storage, up to 256 GB
Support 1 pair of alarm input and output (maximum alarm output supports DC12 V, 30 mA), 1 pair of audio input and output (supported by -S model)
Support DC12 V, 200 mA power output for pickup power supply (-S model support)
Model: STB-AIC310
Camera
Sensor Type1/1.8" Progressive Scan CMOS
Minimum illumination
Color: 0.0005 Lux @ (F1.2, AGC ON)
Black and White: 0.0001 Lux @ (F1.2, AGC ON), 0 Lux with IR
Lens
Focal Length & Field of View
6 mm models:
6 mm @F1.0, horizontal field of view: 47.5°, vertical field of view: 25.5°, diagonal field of view: 56°
6 mm @F1.6, horizontal field of view: 47.5°, vertical field of view: 25.5°, diagonal field of view: 56°
4 mm models:
4 mm @F1.0, horizontal field of view: 80.5°, vertical field of view: 43.5°, diagonal field of view: 95°
4 mm @F1.6, horizontal field of view: 80.5°, vertical field of view: 43.5°, diagonal field of view: 95°
Maximum F-stopF1.0
fill light
Mixing distance
Mixed fill light (750+ white light)
Face: 3~6 m, general surveillance: 30 m
Wavelength range750 nm
video
Maximum image size2560 × 1440
Large conference rooms, highways, railways, airports, squares, parks, scenic spots, streets, stations, large venues, the periphery of communities and other places.