AVCiT AVCiT AIVC-16CH AI BOX

AIVC-16CH is a 16-channel AI box developed based on Octa-core Cortex A55 chip modules and compatible with any IP Camera with RTSP or ONVIF protocol in delicate crafting. With its built-in multi-algorithms for detection of human behavior, pedestrian, vehicle, object and environment etc., the AI box supports 16 channels video concurrently and provides powerful AI edge computing video structured analysis. It applies in every scenarios including transportation, community security, industry manufacturing and etc, demonstrating excellent and intelligent analysis capability.

Applications: Smart Construction Site, Smart Mining, Smart City, Smart Traffic Management, Secure Community, Smart Shopping Mall, Smart Factory etc.

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Specification

Highlights

Schematic

Video

Specification of AVCiT AIVC-16CH AI BOX

CPU	Octa-core Cortex A55, up to 1.7GHz
RAM	LPDDR4X Default configuration 8GB
Storage	Built-in eMMC 4GB + SSD 128GB
Protocol	TCP/IP, RTSP, ONVIF, GB281281, HTTPS, Node-Red
Control Port	Ethernet Ports x2, RS485 x1, USB3.0 x1, USB2.0 x4, HDMI OUT x1
Video Decoding	Maximum decoding capability: 8K @60fps Supports decoding of 16 channels of 1080p@30fps"
Development Support	Supports deep learning frameworks such as TensorFlow, Caffe, PyTorch, and Paddle
Operating System	buildroot
Temp	-30~85℃ (working environment)
Humidity	10%~80% (working environment), 10%~90% (storage environment)
Power	7.5-15W
PSU	DC 12V 2.6A
Dimension of node	220x140x38mm
Net Weight	1.85kg/node

Highlights of AVCiT AIVC-16CH AI BOX

UP TO 16 CAMERAS PER AI BOX

Supports 16-channel video structured analysis and multiple behavior analysis algorithms

FAST DEPLOYMENT, UPGRADE EXISTING CCTV

Flexible and lightweight, easy to deploy; Convert your existing IP camera to AI functioning camera, enabling seamless integration and real-time analysis (No need to change existing systems)

ALGORITHMS ACCURATE AND CUSTOMIZABLE

Support person/vehicle/environment/object recognition by customizable algorithms and multi-channel video structured analysis, and trigger an action pusher to 3rd party system