Customer Tracking

Strategically placed counting devices throughout a retail store can gather data through machine learning processes about where customers spend their time, and for how long.

People Counting

Computer Vision algorithms are trained with data examples to detect humans and count them as they are detected. Such people counting technology is useful for stores to collect data about their stores’ success.

Theft Detection

Retailers can detect suspicious behavior such as loitering or accessing areas that are off-limits using computer vision algorithms that are autonomously analyzing the scene.

Waiting Time Analytics

To prevent impatient customers and endless waiting lines, retailers are implementing queue detection technology.

Productivity Analytics

Productivity analytics track the impact of workplace change, how employees spend their time and resources and implement various tools.

Quality Management

Quality management systems ensure an organization reaches customer’s requirements by addressing its policies, procedures, instructions, internal processes to reach an overall consumer satisfaction rate.

Skill training

Another application field of vision systems is optimizing assembly line operations in industrial production. The evaluation of human action can help to construct standardized action models related to different operation steps, as well as to evaluate the performance of trained workers.