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.
E-mail: info@hfcctv.com
Skype: hfvip@hfcctv.com
Mob: +86-15523810826
Description
Magic Cube Intelligent Analysis Box Product Specification
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.
Specification
System Parameters | |
Main Processor | High-performance embedded microprocessors |
Operating System | Embedded Linux |
Device Access | |
Video Stream Input | Video resolution. 1920 x 1080 (2 million), 2560 x 1440 (4 million), 3840 x 2160 (8 million) |
Video decoding type | H.264/H.265 |
Face Capture Machine | Maximum support for 32-way capture machine access (capture machine should support GA/T1400 protocol) |
Intelligent Parameters | |
Working mode: Mixed mode (Algorithms in parallel, configurable by channel, flexible switching between face, structured, and vigilance algorithms) | Face person binding + face recognition: (maximum 16 ways) Face capture, face recognition, face attributes, human body capture, human attributes, face human binding |
Video structuring: (up to 16 channels) 1) Image capture: face, human body, motor vehicle, non-motor vehicle, license plate 2) Attribute output: face, human body, motor vehicle, non-motor vehicle, license plate 3) License plate recognition 4) Relationships: face-person binding, car-plate binding, personnon-motor vehicle binding;Smart Alert: (max. 16 channels) 1) Separation of people, cars and non-motorized vehicles, highdefinition capture 2) Output of alarm events such as mixing line crossing, area intrusion, vehicle parking violation, and line crossing count | |
Proactive reporting | 1) Face capture, face recognition, face attribute results 2) The face man-machine non-plate capture and attributes, license plate recognition results 3) Alert Alerts |
Human face | Capture rate ≥ 99% |
False capture rate < 1% | |
Whitelist recognition pass rate > 99.5% | |
Recognition misidentification rate: < 0.5% | |
The largest library: 300,000 portrait library | |
Human body | Capture rate ≥ 95% |
False capture rate < 1% | |
Motor Vehicles | Capture rate ≥ 90% |
False capture rate < 1% | |
Non-motorized vehicles | Capture rate ≥ 95% |
False capture rate < 1% | |
License plate | Capture rate ≥ 95% |
False capture rate < 1% | |
Recognition rate ≥ 95% | |
Interface parameters | |
Network Interface | 2 pcs, 100M/1000M Adaptive Ethernet, RJ45 interface |
Alarm input interface | 4 way switching |
Alarm output interface | 4 way switching |
Audio Output | 1 Road |
Audio Input | 1 Road |
Front USB port | Front 1 USB2.0, 1 USB3.0 |
Rear USB port | 2 rear USB2.0 |
RS485 | 2 Roads |
Reset button | 1 pc |
Power indicator (PWR) | 1 pc |
Run indicator (RUN) | 1pc, two-color (red + green) |
System Functions | |
Face Recognition | Entrance and exit staff passage; key personnel list control and identification alarm, stranger identification, etc. |
Video structuring | Face, human body, motor vehicle, non-motor vehicle, license plate capture, attribute analysis, license plate recognition |
Network Protocols | TCP/UDP/HTTP/MULTICAST/DHCP/FTP/NTP/HTTPS/RTSP/GAT1400 etc. |
Dual network port | Support "multi-access setting", "load balancing" and "master/standby mode" |
Log query | Enables query, search and display of capture information of face man-machine non-tag |
Environmental requirements | |
Operating temperature | -20℃ ~ +60℃ |
Storage temperature | -30℃ ~ +70℃ |
Relative Humidity | 10% ~ 90%RH, non-condensing |
Other | |
Power supply | DC12V±10%, 2A |
Structure | Metal Case |
Dimensions (length, depth, height) | 229×193×49(mm) |
weight | <4KG |