Automotive
Deep Learning in the Automotive Industry
HOW EMBEDL'S MODEL OPTIMIZATION SDK IS REVOLUTIONIZING THE AUTOMOTIVE INDUSTRY
At Embedl, we empower the automotive industry with Edge AI optimization for ADAS and Autonomous Driving. Our SDK enables safer, smarter, and more energy-efficient vehicles by making advanced deep learning models deployable in real-time, safety-critical automotive environments.
From perception systems (camera, radar, LiDAR fusion) and driver monitoring to predictive maintenance and autonomous driving functions, we help OEMs and suppliers overcome the challenges of deploying AI on embedded hardware. With model compression, automated optimization pipelines, and hardware-aware tuning, Embedl delivers low-latency performance, reduced power consumption, and scalable AI solutions essential for electric and hybrid vehicles.
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THE BENEFITS OF EMBEDL'S MODEL OPTIMIZATION SDK
Embedl's Model Optimization SDK offers several benefits to companies in the automotive industry. These benefits include:
- Cost Reduction: By reducing the size of the model and reducing the power consumption and memory usage of the system, Embedl's Model Optimization SDK helps reduce the unit cost of manufacturing next-gen safety and convenience systems.
- Faster Time to Market: With Embedl's Model Optimization SDK, engineers can focus on building state-of-the-art models and be more flexible when it comes to what SoC to use. This, in turn, helps reduce the time to market for new products.
- Improved System Performance: By optimizing the code and reducing the size of the model, Embedl's Model Optimization SDK can improve the overall performance of the system, making it more efficient and reliable.
- Reduced Maintenance: With Embedl's Model Optimization SDK, engineers will spend less time on optimization and maintenance and more time building state-of-the-art models.
The Future of Embedl's Model Optimization SDK in the Automotive Industry
Designed specifically for automotive workflows, Embedl's SDK integrates seamlessly with industry-standard frameworks such as TensorFlow, PyTorch, and ONNX, while maintaining compatibility with ISO 26262 functional safety standards. Our solutions fit directly into existing CI/CD pipelines, making it easier for OEMs, Tier 1, and Tier 2 suppliers to move from AI prototyping to production.
By collaborating closely with automotive innovators, Embedl accelerates the deployment of optimized AI models into production vehicles, unlocking the full potential of embedded AI for ADAS and autonomous driving and shaping the future of intelligent mobility.
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