Our client achieved thousands of dollars in savings by implementing an auto-scaling infrastructure and optimizing cloud resource utilization.
Our client is at the forefront of AI-based automotive safety solutions and has developed a mobile app that transforms smartphones into intelligent dashcams. This app records trips and identifies potential road risks such as drowsiness, distractions, and collision threats—all in real-time.
We developed a highly efficient deep learning model capable of real-time detection (approximately 0.01 seconds) of more than 10 objects, enabling instant recognition of road risks. Additionally, we created synthetic training data to ensure the model’s robustness and scalability. The model was further optimized for edge devices, significantly reducing battery consumption and overheating while maintaining target inference times.
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