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SenSen (sensen.ai / SenSen Networks, Melbourne) — Physical-sensor curb occupancy and kerbside activity panel: self-powered, solar, wireless AI sensors retrofitted onto existing parking-sign poles (roughly 30-minute install per site, no trenching or mains power) delivering 24/7 per-bay curb occupancy, dwell time, curb demand and space-usage patterns, plus classified multi-modal vehicle and pedestrian activity counts — continuously building a live digital model of curb spaces, exposed through standardized APIs and an annual-subscription analytics dashboard for transport, planning, police and ci…
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Physical-sensor curb occupancy and kerbside activity panel: self-powered, solar, wireless AI sensors retrofitted onto existing parking-sign poles (roughly 30-minute install per site, no trenching or mains power) delivering 24/7 per-bay curb occupancy, dwell time, curb demand and space-usage patterns, plus classified multi-modal vehicle and pedestrian activity counts — continuously building a live digital model of curb spaces, exposed through standardized APIs and an annual-subscription analytics dashboard for transport, planning, police and city administration
From 2 yearsCoverage Information Technology · IndustrialsAsset class Equities
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SenSen (sensen.ai / SenSen Networks, Melbourne) — Physical-sensor curb occupancy and kerbside activity panel: self-powered, solar, wireless AI sensors retrofitted onto existing parking-sign poles (roughly 30-minute install per site, no trenching or mains power) delivering 24/7 per-bay curb occupancy, dwell time, curb demand and space-usage patterns, plus classified multi-modal vehicle and pedestrian activity counts — continuously building a live digital model of curb spaces, exposed through standardized APIs and an annual-subscription analytics dashboard for transport, planning, police and ci…
Sensen offers (Alternative, Geospatial, ESG) — Continuous high-frequency panel rather than an event archive: every installed node emits occupancy and activity readings around the clock, so a single 20-bay kerb run yields on the order of 10^5-10^6 observations per year, and a city-scale deployment across hundreds of poles reaches 10^8-10^9 readings annually. Absolute volume is deployment-dependent and unpublished.
Kerbside demand and turnover analytics for cities and transport agencies; parking pricing and time-limit redesign grounded in measured dwell curves; loading-zone and AV pick-up/drop-off staging siting using real occupancy baselines; last-mile delivery dwell-cost and stop-search modelling for retailers and fleets; ride-hail pick-up-point placement; pedestrian-volume and road-safety analysis for vulnerable-road-user programs; police and emergency-response deployment planning; congestion and emissions measurement and reporting; ground-truth labeling corpus for parking-occupancy and street-classification computer-vision models; live occupancy feed for navigation and parking-finder apps
The data is with 2 years of history.
Coverage spans APAC, US; Data Processing & Outsourced Services, Ride Services & Mobility; alternative, geospatial, ESG; equities.
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