SafeSpot

🔍 What it is

SafeSpot is an ML model that is able to accurately detect a vehicle's blind spot, whether that's an older car without the technology or a motorcycle, with quick response times.

⚙️ Model Info

Using transfer learning on MobileNetV2, an accuracy of ~98% was reached for blind spot detection with an average prediction time of 0.09s on the Raspberry Pi 4 without any machine learning accelerators. Given an ML accelerator such as the Google Coral USB Accelerator, it would likely reach prediction times of 0.0026s (2.6ms, source).

Note

This isn't a hackathon project, but a personal project.

Built With

• jupyter-notebook
• machine-learning
• python
• tensorflow
• tf-lite