Stohi People Counting Solutions
PEOPLE COUNTING & FACE RECOGNITION With 98% people count accuracy STOHI not only counts people. Its advance computer vision technology recognizes 106 key points of a face, eye, mouth, nose and contour. STOHI face recognition technology is able to perform under various problematics situations such as ; Problematic angles, facial expression, occlusion, blur, extreme light condition. STATE
We know the difficulties of optimization the retail environment for wayfinding. STOHI Heatmap makes retail analytics easy. By tracking customers we are able to see how long they are lingering around a certain area. Using STOHI Heatmap Manager are able to understand and plan better strategies for product placement and merchandising. Knowing customer dwell time
People Counter with staff elimination is made easy with STOHI People Counter Devices. Using advanced computer vision we are able to differentiate between your employees and customers Eliminating staff is a very important to get the most accurate data. STOHI People Counter Devices are able to pinpoint and eliminate your staff. Employee management is a
People Counting with Facial Recognition is our most newest and innovative technology People Counter Accuracy is close to %100 which exceeds all market capabilities. By utilizing facial recognition technology we have created the first and only if it’s kind 5D Technology. Face recognition has became mainstream in recent years. At STOHI we utilize this technology not
One of the most promising use for Artificial Intelligence is People/space analytics According to Juniper research global spending Retail analytics spending on AI is o reach $7.3 billion by 2022. This advancement in AI and machine learning is opening up new possibilities for optimizing new and past mesues in retail management. The 2 billion dollar investment in 2018
Managers understand the importance of count of people. Customer analytics doesn’t just end with people counting. A Good planner knows the benefits of understanding their customers behaviour. To be able to make the right decision you have to know customer demographics, gender and the dates and times of your customer walk-ins. Our people counting devices