No/Low-Code to build datasets, train, deploy and fine-tune models to run on your edge device, from extremely low-power MCUs to efficient edge computing devices.
Using the NVIDIA Jetson Orin Nano, Sensecraft, and Lumeo for supermarket shopping traffic analysis and queue detection to understand consumer habits and improve satisfaction.
Seeed Studio used the Jetson J1010, Node-RED, and Sensecraft for real-time inventory management and object detection in the retail industry.
Sensecraft AI Architecture
Supported Edge Devices
Currently, SenseCraft Al is natively compatible with reComputer Jetson devices, XlA0 ESP32S3 Sense,
Grove Vision Al Module V2. The list is growing, and please stay tuned for more to come.
Ready-to-Deploy Models
SenseCrat Al offers xx ready-to-deply models, focusing on computer vision. You’re invited to use foundation models in your pipeline and fine-tune them with your data, without any coding. Explore more