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
To address these challenges, 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.
Video Analytics – Solution Differentiators
Airport Common Object Model
Flights, Bags, People, Buses, Cars – all common Airport objects are catered for.
Access to Low-Cost Resources
Help to keep the ongoing maintenance cost to a minimum.
Secure Approach
Video Analytics Platform runs within the client’s network. This addresses regulatory compliance and mitigates concerns regarding privacy.
Infrastructure Agnostic
Run on Cloud or On Prem. Run the solution on your choice of Cloud Vendor.
Integration with Existing Systems
Outputs of Analytics are integrated with Azure Native Suite of Products
Challenges encountered
Challenges encountered
Lighting
Poor Lighting
makes it difficult
to differentiate
and identify
objects
Camera Angles
The CCTV
camera may not
be perfectly
positioned for the
required analysis
Motion
Motion blur due to
fast-moving
objects.
Overlapping
Unable to
differentiate
where one object
ends and another
begins.
Environment
Image impacted by
sun glare, dust, and
sea spray. Heat and
humidity affecting
hardware
Bus Arrival Time Monitoring – The Outcome
- Video Analytics – The use of existing CCTV cameras proved
to be a very efficient way of obtaining valuable real-time
data. - Dashboards & Alerting – Supervisors were empowered with
real-time dashboards and alerting. This enabled supervisors
to take actions that drove the right behaviors. - Accuracy – The report generated from the analytics was
found to be 98% accurate. - Performance – Reduction in complaints and delays.
Customer Use Cases
Bathroom Cleaning Optimisation
Valuable POC
Customer Use Cases
Unit Level Device & Divestment Trays
Business problem
Passenger wait times and queues lengths.
Detailed understanding of delays and inefficiencies.
Solution
Video Analytics used to monitor the overall queue
experience including the performance of third-party
technology. Provided clear metrics to negotiate
contracts and discussions with third party vendors.
Customer Use Cases
Unit Level Device & Divestment Trays
Business problem
Managing the storage deck optimally. Understanding
inventory and any potential OH&S Risks.
Solution
Video Analytics used to understand long term storage requirements, prevent storage in unauthorized locations, and facilitate discussions with airlines.
Customer Use Cases
Queue Counts
Business problem
Lacked information regarding queue lengths throughout the day. Difficult to optimise processes.
Solution
Implemented Video Analytic to develop a highly efficient means of tracking the queue length throughout the day and implemented changes to the process and staffing to address issues.
Customer Use Cases
Bathroom Cleaning Optimisation
Business problem
Cost of cleaning 60 bathrooms around the clock was resulting in costs of $XXm. Needed data to optimise.
Solution
Video Analytics provided interesting insights and proved correlation between gate allocation and bathroom utilisation. However, camera angles and lighting were a barrier. The art of what is possible is driving investment into further analytics.
Customer Use Cases
Bus Arrival Time Monitoring
Business problem
Buses failing to arrive on time. Lack of accountability and visibility of issues. Lack of real time data.
Solution
The GPS tracking on buses was failing to provide accurate data. Video Analytics integrated real-time notifications to operational staff who drove accountability through actionable insights.
Customer Use Cases
Unit Level Device & Divestment Trays
Queue Counts
Bus Arrival Time Monitoring
Bathroom Cleaning Optimisation
Capture
AI powered vision
analytics to detect buses
using existing CCTV
cameras
Optimise
Machine learning to understand
vehicle dwell time and congestion
levels and decide if action needs to be
taken
Connect
Standardised API layer to
expose data to mobile apps
quickly and reliably
Action
Training and Configuring Models
Option Considerations
Video Analytics – Solution Options
Real Time Technology Deep Dive
Monitoring and Validating
Monitor
Search & Validate the findings
Customer Use Cases
Bus Arrival Time Monitoring – The Solution
Capture
AI powered vision
analytics to detect buses
using existing CCTV
cameras
Optimise
Machine learning to understand vehicle dwell time and congestion levels and decide if action needs to be taken
Connect
Standardised API layer to
expose data to mobile apps
quickly and reliably
Action
Integration Strategy
Intelligence and advanced analytics for automation and decision support.
Efficient integration of AI into
operational processes and systems.
Enabling AI supported decisions
to be executed
Digital Strategy
Data Loses Value Over Time
AI Strategy
