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AI model checks tread tyres

  • Posted:
  • Proposals: 38
  • Remote
  • #4495689
  • OPPORTUNITY
  • Open for Proposals
Armaghan A.Mahmood U.Amaneet B.Awais A.Shoaib A. + 33 others have already sent a proposal.
  • 2

Description

Experience Level: Expert
Experienced AI/computer-vision developer or engineering team required for an intelligent transport infrastructure project focused on real-time roadside monitoring and vehicle/sensor analysis. Tasks include tyre tread assessment, low-speed vehicle detection, sensor integration, ANPR, embedded systems, machine-learning model development, and dashboarding for data analysis and visualization. Familiarity with OpenCV, deep learning frameworks, edge deployment, and smart-transport technologies is essential. A detailed brief and technical specification will be provided upon engagement and NDA. Prior relevant portfolio required.

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Clarification Board Ask a Question

  • Asad C.

    - Could you share more details about the physical roadside environment where the system will operate? For example, what types of cameras, edge devices, embedded systems, or sensors are already planned or currently installed?

    - Regarding tyre tread assessment, ANPR, and low-speed vehicle detection, what level of detection accuracy and latency are you targeting for production deployment? Are there predefined thresholds, compliance standards, or operational KPIs the system must meet?

  • Eight Veer Ltd

    Hi Joe, could you confirm how the tyre tread images will be captured at roadside, and whether the system needs to estimate tread depth numerically or only flag vehicles as acceptable / low-tread risk?