The Nigaah-VideoSurvelience platform is an AI-based platform based on a deep learning algorithm that counts the number of persons in real-time. It is mainly used in real life for automated public monitoring from particular entry or exit points of premises. Crowd counting is done using CCTV video streams in real-time.
The City government was struggling to manage large crowds and maintain public safety during major events and festivals. They needed a way to accurately count the number of people in public spaces and monitor crowd movement in real-time to prevent overcrowding and identify potential safety hazards.
We offer a wide range of features to crowd counting application.
The system can provide real-time identification of individuals, making it useful in security and law enforcement applications.
The system utilizes advanced algorithms to analyze facial patterns and textures to provide accurate identification of individuals.
Adding search filters to reports can enhance the system by enabling the user to filter and sort data effectively.
The system features a user-friendly interface that users of all levels of technical expertise can easily navigate.
Customers can view and download the
The system is designed to be highly accurate, with minimal false positives or negatives.
Generate a more engaged audience
Improve conversion rates
Boost brand loyalty
Build a strong brand identity