AI-Based Traffic and Parking Intel with AWS Greengrass and Rekognition

OneData’s Traffic & Parking Intelligence Platform integrates IoT edge devices, smart video analytics and cloud-based AI to transform how traffic flow and parking assets are monitored, managed and optimised. Built on AWS, the platform is designed for dynamic urban mobility environments — from smart city intersections and airport garages to large retail or commercial parking facilities.

Architecture & AWS Integration

• AWS IoT Greengrass runs on edge devices with smart cameras and sensors, enabling local preprocessing of video and telemetry, reducing latency and bandwidth consumption.

• Amazon Rekognition performs video analytics for vehicle detection, parking occupancy classification, license-plate or anomaly recognition, and triggers events such as “parking slot freed” or “illegal parking”.

• Captured and processed events are streamed to AWS cloud services (e.g., Kinesis Video Streams, Lambda) for aggregation and orchestration.

• AI/ML models (built with Amazon SageMaker) consume processed event-data to predict traffic congestion, parking demand peaks, and dynamic allocation of parking resources.

• Dashboard and reporting layers visualize key metrics: slot usage, traffic bottlenecks, dwell times, and predictive trendlines for planners and operators.

• The full solution supports smart-city, retail or airport scenarios: cameras detect cars arriving/departing, smart routing guides drivers to available slots, and predictive models forecast upcoming congestion or parking load.

Capabilities

• Real-time vehicle and parking slot detection via computer vision & IoT edge.

• Congestion prediction and routing optimisation based on live and historical data.

• Automated parking guidance: availability notifications, dynamic slot assignment, violation detection.

• Insight dashboards & analytics for traffic management teams and operators.

• Scalable deployment: from single parking lots to city-wide multi-node systems.

• Seamless integration with existing infrastructure (CCTV, sensors, signage) and cloud-native AWS services for manageability and reliability.

Use Cases

• Smart cities managing intersections, urban parking, and traffic signal systems.

• Shopping malls or airports optimising parking slot allocation, reducing search time for drivers and improving throughput.

• Public parking facilities monitoring occupancy, enforcing illegal parking, and forecasting demand for dynamic pricing or capacity planning.

Business Impact

With OneData’s solution, organisations benefit from reduced traffic jams, improved parking utilisation, enhanced driver experience, and data-driven urban planning. The AWS-based architecture ensures security, scalability and agility.