reComputer AI Lab | Edge AI Models & Tools
What is reComputer AI Lab?
reComputer AI Lab is an open platform for deploying edge-AI models on Seeed Studio reComputer hardware with a single Docker command. It brings together 100+ optimized computer-vision, LLM, and VLM models, a hardware toolchain for flashing and model conversion, step-by-step tutorials, and community projects — all tuned for reComputer devices built on NVIDIA Jetson, Rockchip RK3576/RK3588, and Raspberry Pi. Every model ships with benchmarks and a ready-to-run deployment command, so you can go from browsing to running inference at the edge in just two steps. Whether you are prototyping a vision application, running a local LLM, or shipping an industrial AI project, reComputer AI Lab lowers the barrier to real-world edge AI with reproducible, hardware-optimized workflows.
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Explore Models
CV, LLM, and VLM models ready to run on reComputer.
Browse all models →Tools
reComputer-optimized toolchain, one command to use.
Browse tools →Tutorials
Step-by-step guides and hands-on tutorials for reComputer.
Browse all tutorials →Community Projects
Share your community projects built on reComputer.
View all projects →Hot Model
Popular edge AI models ready to run on reComputer
Community Projects
View all projectsSee what the community is building with reComputer
Real-Time Pull-Up Counter on reComputer RK3576
A YOLO11 pose application that uses the RK3576 NPU to detect a person, draw the body skeleton and bounding box, and count pull-ups in real time from video, camera, or RTSP input.
Building Real-Time Traffic Analytics on Raspberry Pi 5 with Hailo-8
Run local traffic analytics on Raspberry Pi 5 with Hailo-8. Count vehicles in selected areas, track their movement, and measure directional line crossings from one browser dashboard.
Deploying Viseron on the reComputer R2245
Benchmarks continuous Viseron recording on the reComputer R2245 and validates Hailo-8 integration.