Roadway Traffic Assessment

SAPHI deployed Shellshock AI to capture and analyse roadway utilisation data and leverage insights to inform infrastructure planning, traffic management and maintenance.

What Did Glenelg Shire Say?

"Integrating Shellshock AI into our framework has greatly enhanced our asset management capabilities. With Shellshock AI, we've seen marked improvements in visualising pedestrian flows and our Marine traffic patterns, which has been instrumental in optimising the Local Ports asset management strategies. "
Glenelg Shire Council

What Was The Problem?

Glenelg Shire LGA (Local Government Area) needed to capture roadway utilisation data and leverage insights to optimise infrastructure planning, traffic management, and maintenance. The system required the capability to function in various environmental conditions, capable of withstanding various weather conditions and provide real-time data to support decision-making. The system also had to be scalable for future expansions.

What Was The Solution?

Our team developed Shellshock AI, leveraging advanced AI models to analyze pedestrian mobility and utilization in local government areas for a fraction of the cost and effort associated with traditional IoT solutions.


Key features of the solution included:

  • AI-Driven Analytics: Utilized sophisticated AI models to analyze data on community engagement and recycling program effectiveness.
  • Durable Hardware: Devices built to withstand extreme weather and environmental conditions, ensuring reliability and longevity.
  • Off-Grid Power Solutions: Integrated solar power systems and battery storage to maintain uninterrupted operation without reliance on mains power.
  • Real-Time Monitoring: Enabled real-time data capture and analysis, providing immediate insights and actionable information to optimize staff schedules and resource allocation.
  • Multi-Parameter Capture: The system can monitor and analyze multiple parameters simultaneously, offering a comprehensive view of community engagement and operational performance.
  • Remote Updates: Capable of changing what parameters it captures through remote software updates, allowing for flexibility and adaptability to evolving needs.
  • Non-Disruptive Deployment: The solution allowed for deployment and data capture without any disruption to traffic flow, as no equipment needed to be installed on the road.

What Was The Outcome?

The AI imaging system for roadway utilisation provided the local council with valuable insights for infrastructure management. Key outcomes included:


  • Real-Time Data: Enhanced decision-making with immediate access to roadway utilisation data.
  • Operational Insights: Improved understanding of traffic patterns, aiding in infrastructure planning and traffic management.
  • Proactive Maintenance: Identified maintenance needs promptly, allowing for timely interventions and reduced roadway downtime.
  • Cost Efficiency: Utilized existing camera infrastructure where possible, minimising costs and facilitating rapid deployment.

Want to learn more about Shellshock AI?

See Shellshock AI for yourself by clicking the link below.