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A new sensing platform called OmniSensr for retail environments is optimized specifically for anonymous shopper tracking and generation of deep behavior analytics. The integrated hardware package combines video, Wi-Fi and Beacon technologies.
The platform from VideoMining Corp. offers store-wide tracking as well as detailed shelf-level interactions with demographic segmentation. All processing is carried out on-board in real time, eliminating the need for large, elaborate hardware in stores. The resulting cost-effective solution can be deployed in a scalable way in stores of any format.
Employing an Internet-of-Things (IoT) architecture, the sensor’s outputs can be seamlessly integrated in a cloud environment with transaction data and other data sources (store map, product layout, promotions, etc.). Key advantages include the ability to provide repeat visitor analytics, much more robust store-wide tracking (compared to any single-technology based approach), trip-type analysis, and brand-level behavior analysis.
In addition to delivering a wide array of shopper behavior analytics, the technology enables powerful mobile location-based marketing solutions. This provides retailers and manufacturers with the ability to serve targeted content to shoppers at the point of decision in the form of promotions and relevant product information.
“We look forward to working with our retail partners to roll-out this powerful new sensing platform,” said Dr. Rajeev Sharma, founder and CEO of VideoMining, a provider of in-store behavior analytics.
Dr. Paul J. Shin, director of research, said, “We are delighted and view the new solution as the culmination of a long period of research and development. The result is a true multimodal fusion combining the best features of each sensing technology.”
Two patents have been filed and several other patent applications are being processed. The sensor is manufactured in the USA. Large-scale deployments start this Fall.