Imagimob AI offers a number of advantages
With zero to low latency between sensing, decision, and action, Imagimob AI allows for real time operations, including making critical decisions where milliseconds matter.
Imagimob AI makes devices autonomous, meaning they can think for themselves and don’t need to connect to the internet or a central processing hub in order to work properly.
Imagimob AI learns quickly and easily. This means your application becomes smarter and more sophisticated over time.
Thanks to a tiny memory (RAM) footprint, Imagimob AI applications runs efficiently even on the most low-end hardware. This means that more AI models/applications/functions can be fitted into the same chip.
Imagimob AI operates locally, and only sends data when it matters. This means significantly less power consumption and data transmission costs—crucial for many applications.
Constantly streaming data to the cloud for storage makes a system vulnerable to privacy violations. By processing data locally on each device, these problems can be avoided entirely.
Our AI library can detect hand gestures using raw radar data from the Acconeer XM122 IoT Module as input. The data is challenging, and for each user there are large data variations. To account for these variations, the library has been trained on gestures performed by several different people. The radar data picks up detailed information which allows for very fine gestures to be recognized. For this to work in a robust way, high re- quirements have been placed on the accuracy of the AI model.
Imagimob Fall Detection offers a powerful solution for fall detection that can be embedded into any hardware device. It offers a high level of accuracy with low levels of false alarms, and consumes very little power — attributes which are critical for any wearable device. A device with Imagimob Fall Detection can be integrated with a wide range of different products, including helmets, earphones, hearing aids, clothes, and more.