The RSL10 adds the power of AI-based image recognition to ultra-low-power IoT endpoints, such as surveillance cameras, restricted areas, factory automation, smart agriculture and smart homes. A companion smartphone application provides a user interface for the platform and acts as the gateway to cloud-based, AI-enabled object recognition services.
The platform brings together the RSL10 SIP, which provides ultra-low-power Bluetooth Low Energy technology, and the ARX3A0 Mono 65 DFOV IAS Module. The module is a compact prototype used for developing compact cameras with 360 fps mono imaging based on the ARX3A0 CMOS image sensor.
Complemented by advanced motion and environment sensors and power and battery management, these technologies provide a complete solution that can be used to autonomously capture images and identify objects within them.
Using the RSL10, developers can create an endpoint that automatically sends an image to the cloud for analysis when triggered by various elements including time or an environmental change, such as light or temperature. Equally, the camera platform can operate in low power mode while monitoring a specific part of its field of view, automatically taking an image when the scene's contents change. The image is then sent to the cloud for processing, using AI to determine the contents of the image and then taking the appropriate action.
The image data is transferred to the cloud through a gateway, connected over Bluetooth Low Energy, using the RSL10 SIP. The low power credentials of the components used in the platform mean it can operate for extended periods of time from a single primary or secondary cell. The triggers are configured using the companion app, also over Bluetooth Low Energy.
