Video Analytics


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

Timely & Essential Insights | Airline Industry

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.

“When we have all data online it will be great for humanity. It is a prerequisite to solving many problems that humankind faces.

Robert Cailliau
Informatics engineer and computer scientist who helped to develop the World Wide Web

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Shahnewaz Khan

10 years of experience with BI and Analytics delivery.

Shahnewaz is a technically minded and accomplished Data management and technology leader with over 19 years’ experience in Data and Analytics.

Including;

  • Data Science
  • Strategic transformation
  • Delivery management
  • Data strategy
  • Artificial intelligence
  • Machine learning
  • Big data
  • Cloud transformation
  • Data governance. 


Highly skilled in developing and executing effective data strategies, conducting operational analysis, revamping technical systems, maintaining smooth workflow, operating model design and introducing change to organisational programmes. A proven leader with remarkable efficiency in building and leading cross-functional, cross-region teams & implementing training programmes for performance optimisation. 


Thiru Ps

Solution/ Data/ Technical / Cloud Architect

Thiru has 15+ years experience in the business intelligence community and has worked in a number of roles and environments that have positioned him to confidently speak about advancements in corporate strategy, analytics, data warehousing, and master data management. Thiru loves taking a leadership role in technology architecture always seeking to design solutions that meet operational requirements, leveraging existing operations, and innovating data integration and extraction solutions.

Thiru’s experience covers;

  • Database integration architecture
  • Big data
  • Hadoop
  • Software solutions
  • Data analysis, analytics, and quality. 
  • Global markets

 

In addition, Thiru is particularly equipped to handle global market shifts and technology advancements that often limit or paralyse corporations having worked in the US, Australia and India.