Imagimob AI offers a number of advantages compared to cloud-based AI solutions
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, which means that they can think for themselves and don’t need to connect to the internet or central processing hub in order to work properly.
Imagimob AI learns quickly and easily, using small data sets. This means your device only becomes smarter and more sophisticated over time.
Having the intelligence on the device lowers the amount of sent data, because it will only send curated data. Sending less data lowers power consumption, because running the software on the device consumes much less power than transmitting all sensor data over Bluetooth LE (BLE) or any other communication method.
Imagimob AI Lib can run on low-cost microprocessors, such as ARM Cortex M0. Cost is very important when you want to roll out millions of devices. Imagimob AI Lib requires around 10 kB of RAM on the device.
Imagimob AI operates locally, and only sends data when it matters. This means significantly less power consumption and data transmission costs—crucial for wearable devices.
Imagimob AI Lib is communication-agnostic, ie it works with all communication technologies in the market, eg Bluetooth LE, 2G/3G/4G/5G and WiFi. Using Imagimob AI Lib together with Low Power Wide Area Networks (LPWAN), such as NB-IoT, Sigfox or LORA is an ideal fit, since they share the same qualities that are important for IoT networks, low power and low cost devices.
Constantly streaming data to the cloud for storage makes the system vulnerable to privacy violations. By processing data locally on each device, these problems can be avoided entirely.
Capture comprises a mobile app and a capture device. It’s used to capture synchronised motion sensor data and video during the data capture phase. Once the data capture is ready, it is sent to SensorBeat Analyser for analysis.
Analyser is a software package for analyzing and collecting action from motion sensors and video. This is where you do the AI learning. You can playback video with synchronised sensor data, in order to identify important patterns. The result of the analysis is the motion pattern database for Imagimob AI Lib.
Imagimob AI Lib is a embedded software package that includes the AI engine and a trained AI model. It can be easily integrated into 3rd party hardware platforms. Imagimob AI Lib is fast, accurate and has a very small footprint, which means that it can run on low-cost and low-power hardware devices. For OEM devices the Lib is a source code / pre-compiled library written in ANSI C. The Lib is also available on iOS, Android and Apple watchOS.
Download this fact sheet that explains the actual power consumption for the Lib for a specific application.