Case Studies

Engine Temp Prediction

Technologies

AI
Computer vision on the edge
NVIDIA Jetson

Client’s Need

Detecting the variation in the presence of waste on the road surface and its extent.
Implementation and standardization of the clean street index on different road surfaces.
Adjustment of cleaning actuators (brushes and vacuums) based on estimated street dirtiness and cleaning performance.
Aim: Index of street cleanness evaluation and vehicle efficiency control.

Approach

Data analytics and AI Computer vision algorithm to detect road waste and evaluate cleanness state of the road before and after passing of sweeper truck.

Main Outcomes

  • Application based on AI computer vision technology, object detection and sequential change detection.
  • On-edge implementation of Clean Street Index and sweeper performance estimation leveraging NVIDIA Jetson hardware.
  • HUD display to provide real-time feedback to the driver.
  • Cloud dashboard reporting geolocalised metrics and data analytics for fleet and route management.