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Phase 1: Hardware installation and dashboard development — 2 months
Phase 2: Initial implementation and data collection — 2 weeks
Phase 3: Full project operation and ongoing monitoring — 8 months
Phase 4: Project close-out, data analysis, lessons learned, and final report preparation — 6 weeks
The City Of Calgary
The request is for a solution that utilizes artificial intelligence to assess physical assets along bus routes. The proposed system should include the installation of cameras on buses or other transit vehicles to enable automated image capture of bus stop assets during normal operations.
The collected images will be processed using computer vision and AI technologies to analyze the condition and status of these physical assets. The solution must provide comprehensive reporting, analytics, and actionable insights to support asset management and maintenance decisions. Integration capabilities with enterprise-level asset management systems, such as Hexagon Enterprise Asset Management System, are required for streamlined operations.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.