AI inspection library for embedded devices (DLL/OEM provision)
Built libraries and public C headers. 12ms per frame on CPU only, no GPU required. Over 8 years and more than 100 units deployed.
To device manufacturers and system integrators who want to incorporate AI inspection functions into devices that handle images: DeepAge Sensor is provided as a pre-built inference library (Windows/UNIX). You only need to reference a single public C header (extern "C"). It works simply by linking in C/C++ or loading with ctypes in Python. The CPU version requires no GPU, CUDA, or drivers, and operates at 12ms per image (the GPU version operates at 2ms). Training is conducted on our cloud, and only the model file is distributed to the devices, so there is no need to rebuild the device software every time the model is updated. An unsupervised anomaly detection library (.uai) can also be used with the same API structure. We will provide a library and sample model for evaluation, so you can first check if create → load → inference works in your environment. OEM/white label offerings are available. Your company will handle first-level support, while we will handle second-level support.
- Company：Spot
- Price：100,000 yen-500,000 yen
