| Customization: | Available |
|---|---|
| Type: | on The Radio Type Photoelectric Sensor |
| Output Signal Type: | Digital Type |
|
Still deciding? Get samples of $ !
Request Sample
|
Suppliers with verified business licenses
Audited Supplier Audited by an independent third-party inspection agency
This product uses camera+image LiDAR technology to achieve deep fusion of multi-sensor low-level data; Realize multi-dimensional real-time data display functions such as collection, processing, fusion, and prediction. Adapt to various scenarios such as smart highways, intelligent networking, toll stations, bridges and tunnels, service areas, ports and docks, waterways, national and provincial highways, etc. Multi dimensional optical and visual all-in-one machine, as the main carrier, forms event detection by combining software libraries at three levels: algorithm layer, application layer, and application layer
| Data protocol | UDP |
| Time synchronization | GPS, IEEE1588 v2 |
| Work platform | Windows, Linux&ROS driver |
| Average consumption | 50W |
| Input voltage | 9-36V |
| Power interface/time synchronization interface | M12 code-8pin female/ntp |
| Working temperature | -40 ° C~85 ° C |
| Storage temperature | -40 ° C~90 ° C |
| Protection level | IP67 |
The product achieves a deep integration of 1+1>2, with a small size that is easy to install and debug.
1.High cost-effectiveness
At the same price as a high beam laser radar, we provide users with higher precision recognition algorithms, computing power, and applications to provide customers with an extraordinary experience.
2.Quasi all-weather
Not affected by weather and nighttime, not affected by ground clutter and strong light interference.
3.Ultra high precision
Multi sensor fusion, data complementarity, combined with deep learning algorithms, multi-dimensional data perception, holographic restoration of the inspection area.
4.Integrated simplicity
With a clever multi-sensor layout, the product ensures a reasonable layout to make it compact and exquisite. Minimize construction volume to the greatest extent possible and reduce the difficulty of outdoor installation and adjustment.
5.Multi scenario adaptation
More than ten types of deep learning algorithms are stacked on the software layer, including intersection detection, event detection, toll car recognition, and target size contour detection. Users can adapt according to their actual needs.
6.Rich data
The raw data is abundant, and the radar point cloud and video are fused with diverse data.
7.Ultra low latency
Built in high-efficiency processor, eliminating the need for network transmission to improve data processing efficiency.
){kind=link}