Trax has successfully passed security due diligence for leading global retailers and is GDPR compliant. Our camera system includes sensor alerts in the event of an occlusion (an obstruction in front of the camera) that contains a human presence. The system analyzes every picture to determine whether a human is present before uploading to Trax’s cloud. If a picture contains a person, it’s immediately discarded. The process is repeated until the camera captures a picture without an occlusion. The occluded images are deleted from the gateway server and the IoT camera device. At the end of the process, no photos of people are saved at the store or the cloud.
Open architecture is a core tenet of our approach. We have successfully integrated our technology with SFA tools, BI systems, and data lakes. To ensure our solutions work seamlessly with clients’ ecosystems, we work closely with their tech teams on integrations.
Every day, we take a sample of the images we collect and do a deep analysis of the recognition results. We aggregate the results and provide Accuracy reports every 3 weeks. You can learn more about the process in this video.