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
It can access high-definition network cameras that meet RTSP
It can Support H.265/H.264 video standard (Mac system does not support playback at present), up to 8 million pixel IPC access
2. Smart Applications
The total library supports up to 300,000 face pictures and supports 64 libraries
Support face dynamic bottom library: the recognition accuracy of face library will be improved, and the total capacity is 150,000 face;
Multi-type algorithm mixing: face mode, blend mode (face person binding + video structuring).
Video diagnosis: support a maximum of 4/8/16 video streams with full load
Face recognition: support a maximum of 4/8/16 video streams with full load
Video structured: Support a maximum of 4/8/16 video streams with full load
Perimeter alert: Supports a maximum of 4/8/16 video streams with full load
Behavioral vigilance: support a maximum of 4/8/12 video streams with full load
Item alert: Support a maximum of 4/8/16 video streams with full load
People counting: Support a maximum of 4/8/16 video streams with full load
Work Safety (industry extended algorithm package): support a maximum of 4/8/16 video streams with full load
Support face capture, face recognition comparison alarm, stranger recognition alarm, etc
Support the recognition of face attributes: gender, age, wearing hats, glasses, masks, etc
Support face, human body, motor vehicle, non-motor vehicle, face person binding, person-nonmotor vehicle binding-
Support the analysis of human attributes such as the color of people’s upper and lower clothing, the style of upper and lower clothing, the status of the backpack, and whether they wear a safety helmet
Support motor vehicle classification, color, brand, driving direction and non-motor vehicle classification and other vehicle attribute analysis
Support perimeter vigilance: vehicle stopping, vehicle leaving, personnel wandering, wall detection, intrusion, boundary crossing, battery car entering the ladder, climbing detection
Support behavior detection: running, falling, smoking, making phone calls, looking at mobile phones, sleeping on duty, leaving work, overstaffing on duty, less staff on duty, gathering of personnel, and scuffling of personnel , armed detection.
Support goods alert : sundry stacking, item guarding, and items left
Support people counting: regional people counting, entrance and exit people statistics
Support production safety supervision (industry extended algorithm package): safety helmets, uniforms, safety belts, reflective clothing, flame, smoke, fire protection facility detection, liquid leakage, Mask testing
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
Video diagnosis (full load maximum 4/8/16 channels, 1 function per channel): screen abnormal detection
Face person binding + face recognition: (full load maximum 4/8/16 channels): face capture, face recognition, face attributes, human body capture, human attributes, face person binding.
Video structured: (full load max. 4/8/16 channels): – 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-
Video inspection: (full load maximum 4/8/16 channels, 1 function per channel): screen abnormal detection.
Perimeter alert (fully loaded 4/8/16 roads, 4 functions per channel): vehicle stopping, vehicle leaving, personnel wandering, wall detection, intrusion, crossing the boundary, battery car entering the ladder, climbing detection.
Behavioral Alert (fully loaded 4/8/12 channels, 4 functions per channel): running, falling, smoking, making phone calls, looking at mobile phones, sleeping on duty, leaving work, overstaffing on duty, young personnel on duty, personnel gathering, personnel scuffling, armed and holding swords.
People counting (fully loaded 4/8/16 roads, 2 functions per channel): regional people 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.
Front USB port: 1 x USB2.0 and 1 x USB 3.0 on the front Rear USB interface 2 x USB 2.0
Reset button:1
Power indicator (PWR): 1
Run indicator (RUN): 1
System Capabilities
Face recognition: Employee passage at the entrance; List control and identification of key personnel, alarm, stranger identification, etc
Video structuring: Capture, attribute analysis, license plate recognition of faces, human bodies, motor vehicles, non-motor vehicles, license plates, etc
Algorithmic warehouse management: Support uploading algorithm packages through web, API, MegConnect protocol, support algorithm package installation, uninstallation, deletion
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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