Magic Cube Intelligent Analysis Box

1. Access to ONVIF, RTSP standard HD network cameras

2. Access to face capture cameras conforming to GA/T1400 protocol

3. Support H.265/H.264 video standard, up to 8 megapixel IPC access

4. Total library supports up to 300,000 face pictures, supports 64 libraries

5. Multi-class algorithm hybrid: face mode, hybrid mode (face-human binding + video structuring)

6. face recognition: support 16 video streams

7. video structuring: support 16 video streams

8. Intelligent vigilance: support 16 video streams

9. Support face capture, face recognition comparison alarm, stranger recognition alarm, etc.

10. Support face attributes recognition: gender, age, wearing a hat, wearing glasses, wearing a mask, etc.

11. Support face, human body, motor vehicle, non-motor vehicle, license plate capture and face human binding, human-non-motor vehicle binding

12. Support human body attributes such as upper and lower clothing color, upper and lower clothing style, backpack status, whether to wear helmets, etc. analysis

13. Support motor vehicle classification, color, brand, driving direction and non-motor vehicle classification and other vehicle attribute analysis

14. support license plate recognition and license plate – motor vehicle binding relationship

15. Support intelligent alert function such as human-vehicle separation, line crossing, area invasion, vehicle parking violation, line crossing count, etc.

Product Features

Device Access.

◼ Access to ONVIF, RTSP-compliant HD network cameras

◼ Access to face capture machines that comply with GA/T1400 protocol

◼ Supports H.265/H.264 video standard and up to 8 megapixel IPC for access intelligence applications.

◼ Total library supports up to 300,000 face images, supporting 64 libraries

◼ Multi-class algorithm mixing: face mode, mixed mode (face-human binding + video structuring)

◼ Face recognition: 16 video streams supported

◼ Video structuring: 16 video streams supported

◼ Smart Alert: Supports 16 video streams

◼ Support face capture, face recognition comparison alarm, stranger recognition alarm, etc.

◼ Support recognition of face attributes: gender, age, wearing a hat, glasses, mask, etc.

◼ Support face, human body, motor vehicle, non-motor vehicle, license plate capture and face-human binding, human-non-motor vehicle binding

◼ Support human body attributes such as upper and lower clothing color, upper and lower clothing style, backpack status, and whether to wear a helmet analysis

◼ Support motor vehicle classification, color, brand, driving direction and non-motor vehicle classification and other vehicle attributes analysis

◼ Support license plate recognition and license plate – motor vehicle binding relationship

◼ Support people and vehicles separation, mixing line crossing, area invasion, vehicle illegal parking, over the line counting and other intelligent alert function system features.

◼ Support MegConnect V2.0 protocol to access Cloudwing, Cloudbridge, Pangu, and other software platforms

◼ Available via GA/T1400 standard protocol cloud or third-party view library  platforms

◼ Provide a rich RESTful API protocol interface for thirdparty platforms to do docking development application scenarios.

◼ Provide the ability of face recognition and full target structured analysis, with the upper platform software can realize the closed loop of face capture recognition and video structured scenes.

◼ Applied to places that need face recognition, such as entrances and exits of intelligent communities, entrances and exits of office buildings, key personnel list control and identification alarm, stranger identification, etc.

◼ It is applied to structured places that need face man-machine non-plate capture and license plate recognition, such as people and vehicle control in smart parks and license plate recognition in smart communities.