AI Traffic System

SAPHI developed a scalable smart city AI traffic system that counts cars, people, bikes and scooters to inform local infrastructure upgrades and provide local shop fronts with helpful analytics about foot traffic.

AI company

What Was The Problem?

Local governments need high-quality data to make informed decisions about upgrading infrastructure, installing wayfinding infrastructure and supporting local businesses. Current methods of capturing this data often require the configuration, deployment and management of hundreds of thousands of dollars worth of IoT devices with a high margin of error.

What Was The Solution?

The engineering team at SAPHI developed a cost-effective, mobile AI traffic system that can be deployed throughout cities to capture areas that ordinarily require numerous IoT devices. The system can be configured to capture people, bikes, cars, scooters etc. and can be moved around at will. The system is built into a custom enclosure that is invisible to the public. 

The system runs the AI models on the edge and communicates the metadata over LoRaWAN. This means there are no issues with privacy as no images are stored, only the metadata.

 

What Were The Outcomes?

  • Hundreds of thousands saved in unnecessary IoT devices
  • Reductions in maintenance
  • Improved city oversight
  • High-quality data for informing infrastructure upgrades
  • 97.5% accuracy 
  • Significant reduction in waste 
  • Real-time city-wide experiment feedback
  • Business analytics for local shop fronts

What Skills Did SAPHI Use To Implement The Solution?

The tech and experience required for the Ai traffic system included a broad range of skills from our team of computer, electrical and software engineers, including:

  • Embedded microcontroller development
  • Encrypted communication development
  • Mains power integration
  • Big data analysis
  • AI model development
  • Custom PCB design & implementation

What Support Did SAPHI Offer After Completion?

SAPHI provides customised packages to support the full system development life cycle and implementation of upgrades to support the evolving needs of our clients and their customers.

 

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