seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers

Hard to get one now, works perfectly with proxmox inside lxc running frigate.

Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos.

I am thoroughly impressed with the Coral USB Accelerator—it's truly a game-changer for AI camera systems! As a developer working extensively with AI applications for surveillance and monitoring, this device has exceeded all my expectations. Firstly, the setup was incredibly straightforward. I simply plugged the Coral USB Accelerator into my existing camera system and connected it to my development environment. Within minutes, I was up and running, ready to integrate powerful AI capabilities into my cameras. The performance is exceptional. The Coral USB Accelerator significantly boosts the processing power of my cameras, allowing for real-time object detection, classification, and tracking. Even with multiple cameras running simultaneously, the Coral USB Accelerator handles the workload effortlessly, ensuring smooth and accurate AI inference. What I appreciate most is the versatility of this device. It supports various AI models, allowing me to choose the best one for my specific application. Whether I'm detecting intruders, monitoring traffic patterns, or identifying wildlife, the Coral USB Accelerator adapts seamlessly to different use cases. The compact size of the Coral USB Accelerator is also a big plus. It's portable and doesn't take up much space, making it ideal for both indoor and outdoor installations. The low power consumption is another bonus, ensuring that my camera systems remain energy-efficient. Overall, the Coral USB Accelerator has revolutionized the way I approach AI camera systems. It has enhanced the intelligence and responsiveness of my cameras, enabling more sophisticated and effective surveillance solutions. If you're looking to integrate AI into your camera network, I highly recommend the Coral USB Accelerator—it's a must-have for AI developers and security professionals alike.

Produto excelente. Usando o Frigate em meu MiniPC i5, antes do Coral ficava com 85% de consumo de CPU. Com o Coral, caiu para 25~30% de consumo. Recomendo bastante aos que usam Frigate.

Le Google Coral n'est pas reconnu sur Aucun de mes OS, j'ai changé de cable, même combat.

El tpu funciona como dice pero lo hace de manera lenta, es decir, dota a la raspberry de la capacidad de procesar informacion como el algoritmo YOLO pero eso mismo hace que el procesamiento disminuya, realembete lo hace pero lo hace lento.