Sony Semiconductor Solutions (Sony) and Microsoft announced they are partnering to create solutions that make AI-powered smart cameras and video analytics easier to access and deploy for their mutual customers.
As a result of the partnership, the companies will embed Microsoft Azure AI capabilities on Sony’s intelligent vision sensor IMX500, which extracts useful information out of images in smart cameras and other devices. Sony will also create a smart camera managed app powered by Azure IoT and Cognitive Services that complements the IMX500 sensor and expands the range and capability of video analytics opportunities for enterprise customers. The combination of these two solutions will bring together Sony’s cutting-edge imaging and sensing technologies with Microsoft’s cloud expertise and AI platform to uncover new video analytics opportunities for customers and partners across a variety of industries.
The challenges Microsoft and Sony hope to address
Video analytics has emerged as a way for enterprise customers across industries to uncover new revenue opportunities, streamline operations and solve challenges. For example, retailers can use smart cameras to detect when to refill products on a shelf or to better understand the optimal number of available open checkout counters according to the queue length.
Additionally, a manufacturer might use a smart camera to identify hazards on its manufacturing floor in real time before injuries occur. Traditionally, however, such applications — which rely on gathering data distributed among many smart cameras across different sites like stores, warehouses and distribution centers — struggle to optimize the allocation of compute resources, resulting in cost or power consumption increases.
To address these challenges, Sony and Microsoft will partner to simplify access to computer vision solutions by embedding Azure AI technology from Microsoft into Sony’s intelligent vision sensor IMX500 as well as enabling partners to embed their own AI models. This integration will result in smarter, more advanced cameras for use in enterprise scenarios as well as a more efficient allocation of resources between the edge and the cloud to drive cost and power consumption efficiencies.