Closed

AssetAI-Compatible Camera Systems & AI-Assisted Road Defect Inspection Services

Tender ID: 625240


Tender Details

Organisation:
Tender #:
RFT-MCC-26-00042  
Status:
Closed
Publish Date:
10 September 2026
Closing Date:
22 October 2026
Closing Time:
02:00 PM (Australia/NSW)

Tender Description

⁠⁠⁠Overview

MidCoast Council is seeking an end-to-end solution for vehicle-mounted imagery, AI-assisted road-defect inspection, human review, structured data exchange and ongoing service support. The solution will be used across Council's road network and may be expanded to other transport assets and post-disaster inspection activities.

About

MidCoast Council manages approximately 3,630 km of roads.

Objectives

  • Supply reliable, repeatable and auditable road-condition and defect data, including but not limited to geolocations and measurements of defects of Council's assets identifiable in images
  • Provide a camera deployment that remains secure, tamperproof, powered and correctly aligned throughout normal waste-truck operations, with minimal driver or Council intervention
  • Provide a practical data pathway into AssetAI, Reflect and Technology One, with clear ownership of interfaces, data quality and support responsibilities
  • Integrate with TechnologyOne to ensure Council staff review and approve identified defects before actioning
  • Provide a solution that can retain and export historic inspection evidence to support asset management, customer response, post-disaster assessment and Disaster Recovery Funding Arrangements evidence where required
  • Provide a secure, scalable and maintainable service with transparent whole-of-life costs

Scope

The scope includes:

  • Supply of seven cameras permanently installed on JR Richards & Sons waste and recycling trucks
  • Supply of one relocatable camera system capable of deployment to Council Utes, maintenance vehicles, ATVs, bicycles or other suitable transport
  • Verification of fleet, vehicle, electrical and operating assumptions during mobilisation

Location


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