RSL10 Smart Shot Camera brings snappy automatic image recognition to IoT

The RSL10 Smart Shot Camera from ON Semiconductor combines cloud-based artificial intelligence (AI) with ultra-low-power image capture and recognition, to enable a new generation of Internet of Things (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 ON Semiconductor’s RSL10 SIP, which provides ultra-low-power Bluetooth low energy technology, and the ARX3A0 Mono 65 degree 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 motion and environment sensors and power and battery management, these technologies are aimed at providing a complete solution that can be used to capture images autonomously and identify objects within them.

Using ON Semiconductor’s RSL10 Smart Shot Camera, 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 before 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.

Typical applications may include adding smart cameras to wearable safety equipment such as hard hats, monitoring the contents of a shopping cart to support automated checkout, monitoring occupants in vehicles to provide early warning of any safety issues, and at home scanning the contents of cupboards to build shopping lists.

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