Long Distance Video Analytics for Crowdedness Detection

I&T Solution	Long Distance Video Analytics for Crowdedness Detection (REF: S-1517)
Trial Project
Solution Feature	A.I. People Counting System: Analyses video footage to accurately detect and count people within a defined area. Analysis Statistics and Visualization: Automatically transforms captured data into detailed insights for statistical purposes. Cloud-Based Archive: All data and information is stored in a private cloud, accessible through a web-based platform, with an intuitive user interface. Real-Time Data Processing: Performs on-the-fly data processing and fusion, enabling immediate access to synchronised data for efficient analysis during inspections. Predictive Maintenance Insights: Analyses historical data and trends to identify patterns and correlations, facilitating predictive maintenance and proactive decision-making.
Trial Application and Expected Outcome	Trial Execution: Conduct a pilot trial in designated large scale events to validate the performance and feasibility of the A.I. Video Analysis for Crowdedness system. Performance Evaluation: Evaluate the system’s data quality, accuracy, and efficiency in capturing and analysing crowd information. User Feedback: Gather feedback from trial participants to assess usability, identify areas for improvement, and enhance user experience. R&D Result Realisation: Leverage trial insights to refine the analysis system and user interface, ensuring it aligns with project objectives and maximises the realisation of R&D outcomes. Scalability Assessment: Assess the scalability of the solution for wider implementation across various large scale events, optimising efficiency and impact.
Additional Solution Information	Long Distance Video Analytics for Crowdedness Detection (REF _ W-0491).pdf
Info on I&T Solution Provider	Solution Provider : Kodifly Limited Address : Unit 661, 6/F, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park Contact Person : Mr Henry Wong Position : CEO & Director Tel : 6159 3979 Email : henry@kodifly.com Webpage : www.kodifly.com

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