Intelligent Analysis AI Box is an AI computing solution for edge computing requirements. The algorithms can be loaded and distributed in a flexible manner, and the design is founded on the idea of algorithm-defined hardware. You can construct a computing box that is tailored to your industry by loading several packages of industry algorithms. The ideal option for high-performance and cost-effective AI edge computing products is the integrated high-performance algorithm framework, which is made for edge-side AI deep neural network computing with strong arithmetic performance.
Main processor: High-performance embedded microprocessors
Operating system: Embedded Linux
Video stream input – Video Resolution: 1920 x 1080 (2 MP), 2560 x 1440 (4 MP), 3840 x 2160 (8MP)
Video decoding type: H.264/H.265
Production safety supervision (fully loaded 4/8/16 channels, 2 functions per channel):
safety helmets, uniforms, safety belts, reflective clothing, flames, smoke, fire facilities
detection, liquid leakage, mask detection.
Support face capture, face recognition, face attributes, face man-machine nonlicense capture and attributes, license plate recognition results, and alert alarm
analysis results reporting.
Intelligent Analysis AI Box is an AI computing solution for edge computing requirements. The algorithms can be loaded and distributed in a flexible manner, and the design is founded on the idea of algorithm-defined hardware. You can construct a computing box that is tailored to your industry by loading several packages of industry algorithms. The ideal option for high-performance and cost-effective AI edge computing products is the integrated high-performance algorithm framework, which is made for edge-side AI deep neural network computing with strong arithmetic performance.
Features
1. Device Access
2. Smart Applications
the total capacity is 150,000 face;
classification and other vehicle attribute analysis
sleeping on duty, leaving work, overstaffing on duty, less staff on duty, gathering of personnel, and scuffling of personnel , armed detection.
3. Specification Parameters
System parameters
Main processor: High-performance embedded microprocessors
Operating system: Embedded Linux
Device access
Video stream input – Video Resolution: 1920 x 1080 (2 MP), 2560 x 1440 (4 MP), 3840 x 2160 (8MP)
Video decoding type: H.264/H.265
Working mode: multialgorithm parallel, configurable by channel
abnormal detection
face recognition, face attributes, human body capture, human attributes, face person binding.
– Image capture: face, human body, motor vehicle, non-motor vehicle, license plate
– Attribute output: face, human body, motor vehicle, non-motor vehicle, license
plate, license plate recognition
– Association relationship: face person binding, car-license plate binding, personnon- motor -vehicle binding-
abnormal detection.
vehicle leaving, personnel wandering, wall detection, intrusion, crossing the boundary,
battery car entering the ladder, climbing detection.
count, entrance and exit people statistics
Optional algorithms
Production safety supervision (fully loaded 4/8/16 channels, 2 functions per channel):
safety helmets, uniforms, safety belts, reflective clothing, flames, smoke, fire facilities
detection, liquid leakage, mask detection.
Alarms are reported
Support face capture, face recognition, face attributes, face man-machine nonlicense capture and attributes, license plate recognition results, and alert alarm
analysis results reporting.
Algorithm recognition accuracy
99.5%, recognition false recognition rate: < 0.5%.
rate < 1%
Interface Parameters
System Capabilities
machine non-brand
Environmental Requirements
Other
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