The City of Galesburg selected TEE as a forward-looking, strategic partner to provide a pavement, sidewalk, and asset condition assessment, enhance decision-making capabilities, prioritize investments, and implement efficient maintenance and rehabilitation strategies. TEE’s pavement evaluation includes high-resolution imagery capture (downward-facing and 360 degrees), AI/machine learning based distress characterization (type/extent/severity, strictly following ASTM 6433), PCI determination via existing shape file sectioning, and picture-by-picture hyper-granular PCI rating.
The sidewalk evaluation includes high-resolution imagery captured via our e-bike w/tow cart fleet (downward-facing and 360 degrees), AI/machine learning based distress characterization (type/extent/severity, strictly following ASTM 6433), PCI determination via existing shape file sectioning and, in addition, picture-by-picture hyper-granular PCI rating, visualization dashboard of sidewalk pavement inspection, performed by TEE. Identification of tripping hazards and assessment of ADA ramps (detector presence and type, slopes, other geometrical data, and overall rating/compliance summary).
Asset extraction performed by TEE involves high-resolution imagery capture, AI/machine learning based asset extraction/inventorying/geo-locating, visualization dashboarding, filtering, analytics, and data export to GIS (Esri format).
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