Video analytics is the service of analysing your video data using computer vision and machine learning techniques to extract insights and actions. It involves capturing, processing, storing and analysing your video data, as well as applying computer vision and machine learning models, such as face recognition, object detection, scene understanding, sentiment analysis and activity recognition.
CASE STUDY
Optimise Jet Base Bay Utilisation
Business Problem
Airport operation team confronted with the challenge of optimising aircraft bay utilisation. Team was hindered by the absence of real-time data for monitoring aircraft occupancy in hangars, testing bays, waiting bays and Jet base. The team also faced the additional challenge of tracking the transition of aircraft into various bays.
Solution
We implemented a video analytics solution by utilising the Jet base cameras to track flight movements, capturing both arrivals and departures flights and using the ADSB data geo-coordinates of vehicles & flights to track the movements. This provides a clear picture of bay occupancy & utilisation.
Outcome
The solution enhanced airport efficiency by providing real-time data, insights, and Power BI integration for improved bay management. This comprehensive approach, including visual snapshots and temporal insights, results in smoother operations, and optimised bay utilisation, contributing to a streamlined and efficient aviation operation.
Divestment Tray Security Scan Optimisation
Business Problem
Passenger wait times and extended tray queues during security scans pose challenges for efficient processing at the airport. Analysing the root cause of these delays is essential for enhancing the overall flow and creating a smoother experience for passengers and keeping the cost under control.
Solution
We’ve implemented video analytics to monitor tray movements in entry & exit of security scan, and calculated tray process time, system throughput and trays queued in decision plate. Analysed this data through Power BI and revealed that extending the conveyor belt reduces wait times which enhances the scanning process and reduces passenger wait-time.
Outcome
This solution gives the clear analysis of tray processing and led to improved airport efficiency by identifying root causes and implementing strategic changes in the security scanning system. Real-time insights and Power BI integration offer continuous monitoring, optimising security scan processes for a smoother passenger experience and enhanced overall airport efficiency.
Optimising Carousel Utilisation and Baggage Processing
Business Problem
The airport is striving to assess carousel utilisation across all terminals and is faced with the challenge of measuring baggage processing times per flight, identifying anomalies in the baggage handling process, and flagging instances of extended processing.
Solution
Utilised handling area video footage to track bags, handlers, and processing personnel using advanced detection. Synchronised timestamps with flight block times. Detailed data analysis allowed us to calculate processing times, carousel usage, and flag anomalies, providing insights into efficiency and identifying irregularities in baggage handling.
Outcome
The solution improved carousel utilisation across all terminals, optimised baggage processing times, and proactively identified anomalies, leading to enhanced operational efficiency. The refined baggage handling process contributed to improved customer satisfaction and overall operational performance at the airport.
