Smart City Lighting & Infrastructure — Roads, Public Lighting, Public Assets
Every pothole, missing sign, broken streetlight and damaged bench has a cost. Fogsphere turns fixed and vehicle‑mounted cameras into a continuous condition map of the urban estate.
What street lighting and infrastructure look like to Fogsphere
Video slot — awaiting upload.
Roads, sidewalks, bridges, tunnels, lighting and street furniture — the static city that needs to keep working. Fogsphere detects defects, scores condition, maps brightness and feeds work‑order automation for maintenance crews.
Potholes, cracks, drains, bridges — visible at scale
Pothole detection and severity classification
Road cracks, asphalt deformation, rutting, sinkholes and damaged road‑surface detection
Damaged sidewalks, curbs, ramps, barriers, stairs, guardrails, poles, benches, shelters and street furniture
Faded lane markings, missing signs, damaged traffic lights and broken public assets
Flooded roads, blocked drains, standing water, mud, snow, ice, debris and fallen‑object detection
Bridge, tunnel, underpass, retaining‑wall and critical‑infrastructure visual inspection support
Digital map updates based on detected changes in roads, signage, lighting and street assets
Every streetlight, every block, every night
Streetlight outage, low‑brightness, uneven‑lighting and fixture‑condition monitoring
Public lighting brightness mapping using vehicle‑mounted cameras driving through the city
Night‑time visibility and safety scoring by street, district, crossing, tunnel or public zone
Predictive lighting maintenance using historical visual‑defect trends
Five focus areas
Application clusters behind this focus area
Environmental & Sustainability
Spills, leaks, emissions, flooding and cold-chain excursions.
Asset, Material & Inventory
Where equipment and material is, and whether it is being used.
Process & Quality Assurance
Line status, cycle time, bottlenecks and changeover verification.
Occupancy, Counting & Flow
Headcount, crowding, queues, dwell and movement patterns.