It is an advanced HD traffic video detector. It utilizes the latest artificial neural network technology to provide reliable traffic monitoring even in complex urban environments. Its sleek and compact design offers ease of installation, while its power consumption of less than 3 watts ensures energy efficiency. It provides real-time information on existing vehicles, traffic flow, density, driver identification, and event detection, enabling efficient and effective optimization of traffic control in cities.
- The embedded artificial intelligence algorithm utilizes machine learning and deep learning techniques using comprehensive real traffic data, enabling accurate detection and automated decision-making.
- Real-time traffic data output includes current vehicles, traffic flow, occupancy (detecting both entries and exits to the detection zone), and driver identification.
- Trucks, cars, motorcycles, bicycles, pedestrians, and scenarios such as fog, fire, accidents, and traffic jams are among the 80 different targets that can be defined.
- With 0.0001Lux starlight CCD, infrared fill light is not required in low light and harsh weather conditions, while digital WDR technology ensures even better suppression of intense light.
- Video sensor: 1080P, 1920*1080, 5 megapixel wide scene coverage
- Less than 3 watts, ultra-low power consumption
- 85mm x 80mm x 218mm (W x D x H) compact size and 700g weight, IP67 protection rating.
- Easy installation on any existing pole or roadside.
- Collect data and manage devices using a wide variety of communication methods, including Ethernet, I/O, and optional Wi-Fi, 4G/5G.
- For real-time traffic optimization, it offers an edge computing device with algorithm integration that enables data to be processed and utilized without being sent to the central hub.
- Supports GB20999, NTCIP, and user-defined protocols. Can transmit real-time traffic data directly to any traffic controller or management platform.
Technical Specifications
- Stop bar vehicle detection
- Traffic incident identification
- HD video surveillance
- Identification of drivers
- Traffic data collection
- Vehicle presence, traffic flow, occupancy, and driver identification
- Fog, fire, illegal U-turns on the highway, traffic congestion, detection of abnormal vehicle use, accident detection, etc. event identification
- Detection of 80 different targets, including trucks, cars, motorcycles, bicycles, and pedestrians
- Artificial Intelligence Chip: NPU
- Resolution: 1080P, 1920*1080
- Frame Rate: 10-25 FPS
- Encoding Formats: H.264, H.265
- Sensor: 1/1.8-inch, 5 megapixel wide-angle coverage
- Lens: 2.8-12 mm
- Detection range: 150 m
- Light fill mode: None
- Management: Automatic reset, operational status monitoring, embedded log recording, remote bulk upgrade, etc.
- Communication: RJ45*1, I/O*2, Optional RS485, Wi-Fi, 4G/5G
- Detection zone: Up to 32 detection zones and 32 virtual detectors
- Installation: Use of existing pedestrian traffic light poles, vehicle traffic light poles, street light poles, and all types of roadside structures
- Protocol: UDP/TCP
- Power source: NPU
- Operating temperature: -35°C to +70°C
- Dimensions: 85mm*80mm*218mm (W*D*H, including mounting bracket)
- IP Class: IP67
- Power consumption: Maximum 3W
- Operating humidity: 0%-95%
- Weight: 700g (including mounting bracket)
Overview of Functions
It integrates traffic demand information for motor vehicles, private vehicles, non-motorized vehicles, and pedestrians at intersections. It automatically calculates and generates signal optimization plans in real time based on different traffic demands. It identifies traffic scenarios and sudden special traffic conditions and responds to them. It performs intersection-adaptive traffic control without excessive human intervention and effectively solves traffic congestion problems.
Key Technical Features
• AI video analysis algorithm for accurate identification of people, vehicles, and objects.
• Automatic traffic incident analysis and alert.
• Identifiable traffic scene recognition logic.
• Adaptive control of traffic signals.
Overview of Functions
Video recognition technology detects pedestrian conditions in real time in pedestrian waiting areas and crosswalk areas, including the number of people in the waiting area, total waiting time, pedestrian walking speed at the crosswalk, and stopping status. When combined with the traffic flow demand of road vehicles and the coordinated control demand of up and down directions, it ensures the optimal control of contactless automatic pedestrian traffic signals.
Key Technical Features
• Detection of pedestrian crossing requests using artificial intelligence and video.
• Active video detection for various scenarios.
• Automatic cancellation of pedestrian crossing requests.
• Pedestrian crossing adaptive control.
Detection of unauthorized pedestrian/non-motorized vehicle entry:
Thanks to the pedestrian/non-motorized vehicle detection model, objects within the video ROI range are detected. This allows pedestrians or non-motorized vehicles to be warned in time.
Heavy Fog:
Using the highway visibility model, the visibility of the highway in the video is analyzed (visibility is divided into 6 levels), and if the visibility level is below level 3, an immediate warning is issued.
Fire
Thanks to the fireworks detection model, fireworks in the video are detected and an alert is issued.
Detection of improper reversing maneuvers on highways:
Traffic congestion incident detection:
Vehicle abnormal driving event detection:
