Customer Story
June 7, 2023
Traffic data analysis.
The shift to smart cities depends on understanding how traffic actually moves, but advanced traffic analytics often comes with hardware costs that don't scale. The challenge was simple to state and hard to solve: deliver the accuracy of a high-end system on a low-cost edge device.
Challenge
A low-cost hardware solution for optimised performance of traffic analysis – to streamline the transition into smart cities.
Solution
- Qamcom's AI platform configured for edge intelligence with low-cost HW
- Optimised neural networks for object detection and classification
- Optimised tracking and counting
- Detection of different types of vehicles, bicycles and pedestrians
- Traditional image processing techniques and knowledge to enhance the results
- Traffic measurements and collection of traffic data
Outcome
Accurate but low-cost solution for traffic analysis.
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