VisionLPR is the first traffic monitoring device researched and manufactured in Vietnam that integrates artificial intelligence (AI) to ensure traffic safety and urban security
AI on edge (Edge AI) là một mô hình thuật toán phân tán cho phép triển khai trí tuệ nhân tạo (AI) trực tiếp lên các thiết bị thay vì gửi dữ liệu lên máy chủ (server) để xử lý
The technology uses artificial intelligence and computer vision to analyze image data to recognize license plates on stationary or moving vehicles.
The camera is equipped with automatic license plate recognition technology, allowing recognition of license plates of vehicles moving at speeds of up to 120km/h on two lanes with a width of 6m.
Detect and recognize moving objects using AI technology, allowing to assist with lane splitting, traffic regulation, and report recorded information to the Road Department
Provides the ability to record information about vehicles moving through routes to provide evidence for investigations and penalties
The processing of speed violations is carried out precisely thanks to the speed violation warning feature using radar, combined with License Plate Recognition (LPR) technology. Processing at the edge makes issuing alerts happen quickly.
Vision 1 is equipped with technology that automatically analyzes travel direction and traffic situation, playing an important role in supporting traffic management.
Khả năng nhận diện và phân loại phương tiện giúp cho việc quản lý giao thông và quản lý ra vào hiệu quả thông qua các thống kê báo cáo theo thời gian nhằm nhanh chóng điều chỉnh và phân luồng một cách hiệu quả
Vision1 overcomes one of the weaknesses of current traffic camera systems, which is the lack of AI (artificial intelligence) technology because the cameras are all old.
Vision1 records evidence of violations for processing to ensure the safety of high-speed vehicles without the need for traffic police officers
Vision1 ensures security and safety, manages parking lots and provides for violations of hospital regulations
Vision1 can help urban management agencies capture information about traffic flow, help plan and regulate traffic systems effectively, and control security in urban areas
Vision1 provides a system that handles access control of airport parking lots and identifies different license plates without errors to serve investigation and penalty if necessary.
Vision1 meets the growing need for increased security and safety in schools
Processor chip |
Ambarella CV25 |
Photo sensor |
|
Sensor |
Sony STARVISTM IMX327 |
Maximum resolution |
1080p30 |
Sensor size |
1 / 2.8” |
Encryption standard |
H.264, MP3 |
Recording time |
8+ hours 720p30 |
Recording capacity |
64Gb |
Lens system |
DFOV 140 độ , HFOV 116 độ, VFOV 61 độ |
Interactive interface | |
LCD screen |
2 inches, 320x240, non-touch, brightness 600 cd/m2 |
Lights |
7-color LED or RGB LED |
Loudspeaker |
1W |
Mic |
Sensitivity -42dbmV |
Vibration motor |
Yes |
Card slot |
1 nano SIM, 2 nano SAM |
Biometrics |
Face recognition, voice recognition |
Protocol |
NFC |
Source |
|
Battery capacity |
about 4,500 mAh |
Charging time |
5-6 hours |
Charging |
Includes 5V-2A power source, charging cable, charging base |
Connect | |
Wired connection |
Connect the secondary sensor module via USB C port, maximum connection cable length is 1m |
Wireless Connectivity |
Wi-Fi 802.11n (2.4/ 5.0 Ghz). BLE 4.2, 4G LTE, NFC |
GPS |
GPS & GLONASS/ A-GPS |
Data transmission |
Wi-Fi/USB |
Memory |
64GB |
Size |
99x64x32mm |
Mass |
Mass 150g |