Urban Insights Using AI

SAPHI designed an edge AI imaging system for local government to capture and process data, providing valuable insights for infrastructure management.

What Did LMCC Say?

"Working with SAPHI has provided us with robust, real-time data processing at the source, meeting our privacy requirements and significantly improving our asset optimization and service management capabilities."
Daniel Hartin
Asset Optimisation

What Was The Problem?

Lake Macquarie City Council (LMCC) faced the challenge of capturing extensive urban data to support infrastructure upgrades, service management, optimization, and proactive maintenance. Given the vast areas they needed to cover and budget constraints, they required a versatile solution capable of capturing multiple data sources and being reused across different projects. Additionally, the system had to withstand harsh environmental conditions and operate independently without access to mains power.

What Was The Solution?

Our team developed Shellshock AI. Shellshock AI leverages advanced AI models to analyze urban mobility and space utilization 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.

What Was The Outcome?

The edge AI imaging system for LMCC provided valuable insights for infrastructure management and proactive maintenance. Key outcomes included:


  • Real-Time Data: Enhanced decision-making with immediate access to utilisation data.
  • Operational Insights: Improved understanding of usage patterns, aiding in the optimisation of public space and infrastructure planning.
  • Cost Efficiency: Leveraging existing infrastructure minimised costs and facilitated rapid deployment.
  • Improved Maintenance Scheduling: The data gathered allowed for more accurate and efficient maintenance scheduling, reducing downtime and improving safety.
  • Utilisation Assessments: The insights gained from the monitoring system enabled better assessments of jetty utilisation, supporting resource allocation and planning.
  • Improved Tourism Planning: By understanding the patterns of jetty usage, the LGA could enhance tourism planning, ensuring that the jetties remain a major tourist and economic asset.

Want to learn more about Shellshock AI?

See Shellshock AI for yourself by clicking the link below.