AI Traffic Management
About this offer
In an AI traffic management system, data is captured and processed on the edge and then sent to the cloud for additional processing. In the cloud, the historical traffic data is used to model flow dynamics. An AI optimizer then create an optimized traffic control plan. The plan is pushed out to traffic signal controllers in the field, where the edge AI cameras monitor the flow of traffic and send data to the cloud for ongoing optimization. If necessary, the AI system will automatically adjust the traffic control plan in real time to adapt to changing conditions. Computer vision on the edge, together with cloud AI optimization, offers a solution that’s more than the sum of its parts. Traffic management may be an old problem. But thanks to advances in AI, the future is looking bright.
Details
Availability and Pricing
Order Lead Time (Days): 120
Use Case
Environmental Monitoring
Logistics & Tracking
Control Optimization & Autonomy
Asset & Operations Optimization
Industry
Transportation and Warehouse
Government
Technical Specifications
- Category:
- Solution: Intel® IoT RFP Ready Kits
- Operating Systems:
-
Linux*:Ubuntu family*
Microsoft Windows Client*:Windows Embedded family*
- End Customer Type:
-
Other
- Deep Learning Framework:
-
Torch/PyTorch
- AI Model Training:
-
Machine Learning
- Solution Availability:
-
Deployed
- ToolKit:
-
Intel® Distribution of OpenVINO™ toolkit
- VPU:
-
Intel® Movidius™ Myriad™ 2 VPU
Intel® Movidius™ Myriad™ X VPU
- Software Library:
-
Model Zoo for Intel® architecture
- Topology:
-
Yolo
- Deployment Architecture:
-
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud
Edge Appliance
Included Intel Technology
Intel® Movidius™ Vision Processing Units
Intel® Xeon® Processors
Resources
LED Vision Sdn Bhd
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LED Vision Sdn Bhd
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Video-centric smart IoT traffic solution and service provider.
Ai Traffic Management
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