AI Powered Counting
RetailFlux software platform transforms traditional CCTV cameras into high performance counters with the help of its ultimate AI core, called FluxVision. The counter cameras mounted at the entrance of the store can recognize individual shoppers by using their appearance and behavioral attributes. Thanks to FluxVision AI recognition algorithms, the counter cameras can discriminate different types of objects such as human, shopping cart and baby trolleys. Moreover, the errors caused by environmental challenges including shadowing and variable lighting are easily eliminated by the counting algorithm.
RetailFlux counting platform does not only stand for high accuracy counting. It also achieves other vital analytic tasks including staff detection, shopping time and occupancy measurements. In our counting reports, counting numbers can be filtered according to shopping time parameters provided by the users. The biggest advantage of deploying RetailFlux counters is the possibility of using low-cost hardware components unlike the 3D vision based competitors.
Cheaper Hardware + Higher Accuracy
RetailFlux counting application outperforms the competitors in terms of both hardware costs and counting precision. Our AI based object recognition and auto calibration models introduce a set of intelligent sensing skills for traditional CCTV cameras.
We are the only company providing manual verification service to our clients on project implementation stages.
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