seeed studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

So far this is working great with my frigate instance running in proxmox, it took a bit to setup but i believe that was more related to my frigate config instead of related to the Coral device

Arrive quite quickly. Plugged it in using supplied cable to USB port on back of a Topton fanless 4 port mini PC (n5105) and passed through USB port from Proxmox to Frigate docker container (running in Docker LXC). Set up camera (Reolink RL-810A) and checked Inference Speed of Coral TPU and it was not good at 29.3 ms. Checked USB port specifications of Topton mini-PC and remembered that the back USB ports are all just USB gen2. Both USB A type ports on front of the Topton are gen3 but both were already in use so plugged Coral cable into a USB-A to USB-C adapter and then plugged adapter into front USB-C port on Topton mini PC. Re-configured USB pass through from Proxmox to container and restarted. Inference Speed dropped to 9.2 ms - should have read the section on using fastest USB port! Added 3 more cameras (one more Reolink RL-810A, one Eufy 2K indoor and one Eufy 2k Pan and Tilt indoor). Inference Speed looks stable at about 8.9 ms (not as good as some reports in frigate forums but still good given Coral is passed through from Proxmox to Docker LXC then Frigate docker container inside that).Coral TPU has been working well for past week and false positives cut down markedly from Eufy cameras (mostly cat detection) compared to native camera app's 'pet' detection while notifications from Frigate NVR via Home Assistant to phone are a few seconds faster than the notifications from the native camera apps but not much in it. Person detection from Reolink itself seems on a par with frigate/coral however but Frigate + Coral is work well with Person, cat, dog, bicycle and motorbike objects while Reolink natively only has Person, Vehicle and Pet.Overall pleased with Coral unit (even though seems expensive) and very pleased with speed of dispatch as well as delivery time from Seeed Studio Store.

Subject: DOA Coral USB Accelerator + Absurd Return Process = Consumer HostilityI’m writing to express my deep frustration at receiving a dead-on-arrival Coral USB Accelerator, only to be met with a return process that seems more like a test of consumer endurance than a genuine support experience.Let’s be clear: this isn’t about "user error." I’ve tested the device across multiple USB 3.0 ports, swapped in verified data-capable cables, and even plugged it into a second machine. It doesn’t register — no LED activity, no kernel acknowledgment, nothing in lsusb. The device is a brick. I’ve debugged systems long enough to know when the problem is hardware, not human.And yet, instead of a simple replacement or refund, I’m being treated like someone trying to con their way into a second-rate dev board. The hoops I’m asked to jump through — proof-of-purchase uploads, repeated device re-testing, form after form — amount to one message: we don’t trust our customers. Not even when they’re the ones building edge AI systems on their own time and budget.This isn’t just bad CX. It’s insulting. I’m not here to scam a $60 component. I’m here trying to build. And right now, the message I’m getting from Coral’s return process is that my time, effort, and technical skill mean less than your paranoia about reverse logistics fraud.I expect better from a company building for developers. Refund the purchase. Replace the unit. I was hoping you wouldn’t make me dance to prove what you should have validated in QA.Sincerely,A very tired engineer.

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.