Tensora Count uses computer vision, machine learning and neural networks to detect crowds with 99% accuracy – without facial recognition.
Real-time output of absolute numbers as well as population density (persons/m2) and provision of historical data.
Instantly detect overcrowding and manage high traffic areas at events.
Provides clear, actionable insights to optimize event management and increase safety.
Reduce security costs while improving operational efficiency.
Counting large crowds of more than 10,000 people at the same time
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Safe experience for all, compliance with security guidelines and data protection
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Real-time information enables data-driven decisions
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FAQs
1. What is Tensora Count?
Tensora Count is an AI-powered technology for monitoring and analyzing crowd density in real time. It uses advanced computer vision, machine learning and neural networks to ensure high accuracy.
2. What types of events is Tensora Count suitable for?
Tensora Count is a flexible and scalable solution that is suitable for events of any size. One example of successful use is the Wacken Open Air Festival with around 85,000 fans.
3. How does Tensora Count contribute to safety at events?
Tensora Count's real-time analysis enables data-driven measures to be taken in the event of overcrowding and bottlenecks, thereby increasing the safety of the event. One example of this is the even control of visitor flows to avoid critical accumulations.
4. What technologies are used in Tensora Count?
Tensora Count uses advanced computer vision, machine learning and neural networks to accurately analyze and monitor the density of crowds.
5. How does data protection work at Tensora Count?
Tensora Count only evaluates images of large groups of people. The images are anonymized and evaluated by the AI without facial recognition. No personal data is stored.