Visualization
May 7, 2024Traffic Analytics
May 7, 2024
Crowd Analytics
This technonology estimates the number of people in a defined area and can also determine queues. It triggers a notification when a defined threshold value is exceeded. It can be alternatively employed in detecting social distancing in real time and can trigger an alarm in case of non-compliance.
Our Crowd Analytics Technology is based on deep neural networks.
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Estimates the current number of people in the monitored area (indoor/outdoor)
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Detects crowded areas based on a defined threshold
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Real-time monitoring of Social Distancing
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License required, one-time payment for unlimited period of use
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There are no limits on the number of areas of interest which can be configured by the user
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Accuracy higher than 90%, even in very crowded environments
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Camera in wall mounting (10 to 26 ft height), vertical angle to the persons max. 30°
The main objective of this research thread is to design an artificially intelligent traffic analytics application that would assist law enforcement bodies in regulating and optimizing footfall throughout the city.
Databases
Systems
Collaborators
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