I’ve been using Frigate with my Raspberry Pi and Coral TPU for a while now, and I wanted to share some of my experiences and tips with the community. 
If you’re new to Frigate or looking to optimize your setup, here are a few things I’ve learned along the way.First, I started with a single 1080p camera, and I was surprised at how smoothly Frigate handled it. The CPU usage was around 30%, which I found to be pretty efficient considering the processing power required for motion detection and video analysis. However, when I tried adding more cameras, things got a bit tricky. I noticed that the CPU usage spiked, and I had to adjust my setup to ensure everything ran smoothly.One thing I’ve learned is the importance of proper camera placement and lighting. Good lighting can significantly improve the accuracy of motion detection, especially at night. I also found that using the latest firmware and software updates for both Frigate and my Raspberry Pi made a big difference in performance and stability.Another tip is to experiment with different detection zones and sensitivity settings. Every environment is different, so what works for one setup might not work for another. I spent some time tweaking these settings to minimize false positives while still catching the important events.Lastly, I can’t stress enough the value of community support. If you run into issues or have questions, don’t hesitate to reach out on forums or Discord. The Frigate community is incredibly helpful and always willing to share their knowledge.If you’re considering setting up Frigate or have already done so, I’d love to hear about your experiences or any tips you have to share! Let’s keep learning and improving together. 