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City of Adelaide AI Camera Project

Client

City of Adelaide Council

Location

Currie Street Adelaide, South Australia

Sector

Smart City & Transport Infrastructure

The City of Adelaide (CoA) sought to improve traffic safety and efficiency along Currie Street, a vital CBD corridor with heavy vehicle and pedestrian activity. To achieve this, the council engaged BE Engineering Solutions to deliver an AI-driven monitoring solution that provides accurate movement data to guide future improvements in road safety, traffic flow, and sustainable urban development.

The Challenge

One of the busiest Adelaide CBD corridor, Currie Street faced multiple challenges including:

  • High pedestrian and vehicle volumes during peak hours.
  • Complex traffic patterns with buses, cars, and foot traffic.
  • Limited crossing points creating safety concerns for pedestrians.
  • The need for accurate, real-time data to inform infrastructure planning.

The CoA sought a comprehensive assessment and an innovative solution to enhance road safety and improve traffic flow, while supporting future smart city initiatives.

Our Approach

BE Engineering Solutions deployed an advanced AI detection system featuring:

  • Deployed network cameras within defined zones to capture pedestrian and vehicle movements.
  • Used edge AI for on-site, real‑time detection (pedestrian counts, vehicle classification, direction tracking, speed) and bus dwell time monitoring.
  • Ensured secure, continuous data collection with local storage and 5G connectivity over a defined operating period.
  • Translated AI detections into peak period profiles, directional flow patterns, and bus dwell insights to identify safety risks and efficiency constraints along the corridor.
  • Assessed crossing demand and location suitability using accurate pedestrian/vehicle counts and movement directions to inform near‑term operational improvements.
  • Used the dataset to test crossing placement options and traffic management strategies that enhance safety and reduce delay under future demand.
  • Designed the solution to be scalable and adaptable for broader smart‑city rollouts across CoA, supporting ongoing safety, efficiency, and sustainable urban development goals.
  • Delivered custom reporting templates with clear visuals and key metrics to support evidence‑based decisions.
  • Worked collaboratively with the council to translate insights into actionable recommendations for crossing enhancements and network operations.

Outcome

Through the delivery of smart AI Camera by BE Engineering Solutions, the project established a continuous and reliable data source to support future improvements in road safety, traffic efficiency, urban planning, and sustainable development.

Key outcomes included:

  • Advanced equipment and technology enabled precise data collection, including counts, directions, and classifications.
  • Long-term, large-scale data gathering provides a strong foundation for future improvements in road safety and traffic efficiency.
  • Supports sustainable urban development by reducing resource waste and enabling smarter planning.

Why choose BE Engineering Solutions?

BE Engineering Solutions unites proven traffic engineering expertise with smart AI Camera systems to deliver accurate, real‑time movement data. Our collaborative, evidence‑based approach converts data into actionable planning—improving road safety, traffic efficiency, and long‑term sustainable outcomes.

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