Accuracy Site Test of GDPR People Counter AI Time-of-Flight Tech
We live in an age of high precision analytics, and artificial intelligence (AI) and Time of Flight (ToF) technologies are playing an increasingly important role in providing accurate and anonymous people counting. In this blog post, we will explore how one AI ToF People Counting Sensor is being assessed for accuracy in various scenarios and environments.
Based on the favorable ToF (Time of Flight) technology which features high accuracy and anonymous protection, the sensor revolutionarily adapts the upgraded technology with stronger performances, higher precision, and better scenario adaptability to boost application.
The sensor is 100% compliant with GDPR. It only gets in-depth images without involving personally identifiable information based on ToF technology, which protection at source. More than just the reliable counting of people in both directions simultaneously, the smart sensor also gives direct access to recognize specific categories of individuals including staff detection and adults/children differentiation, realizing precise people counting to optimize operational efficiency.
We will dive deep into its results from extensive testing, which demonstrated an accuracy rate of 99.75%, even in scenarios with a diverse range of objects, people running at high speeds, and challenging lighting conditions.
The Milesight VS133 Sensor is capable of providing highly accurate and anonymous people counting due to its AI and Time-of-Flight (ToF) technology. These are the testing approaches and results, as recorded by the video:
- Real-Time Testing Results: Tests conducted on crowded environments involving individuals with various heights and clothing colors demonstrated a remarkable accuracy rate of 99.75%. The sensor was also tested in special scenarios such as people running at high speeds and carrying various objects including chairs, cardboard boxes, household goods, personal accessories, and more.
- Advanced Functionalities: VS133 Sensor offers advanced functionalities beyond people counting, including the ability to identify and count staff members accurately using reflective stripes. It can also differentiate between adults and children by analyzing their heights in environments with different lighting conditions, including low light and complete darkness.
In conclusion, the Milesight VS133 sensor showed an impressive accuracy rate of 99.75% when tested in various environments, with different scenarios such as people running at high speed or carrying cards and shopping bags, along with objects such as cardboard boxes and daily items. The sensor also revealed its excellent performance in the low or no light conditions and with various heights and clothing colors.
With simple configurations, the sensor can smoothly fuse up to 4 sensors to extend the covering area. The quadruple insights offer a clearer picture of the number in the large target area for more integrated and valuable information.
