Datasets
Buyer room
SYNAPSI.AIManage supplier listing
Synapsi (Synapsi.ai) — Camera-derived transport-hub analytics generated from clients' pre-existing CCTV estate, so the same capability applies to both airports and rail stations: live crowd density and occupancy per zone against safe-capacity thresholds, directional passenger flow and path data across concourses, corridors and interchanges including counter-flows, queue length and wait estimates at gates, ticketing and security, platform and track safety events, concession and advertising-space footfall and dwell, and a searchable labelled incident archive covering falls, fights, abandoned ob…
supplier index read from their site
Camera-derived transport-hub analytics generated from clients' pre-existing CCTV estate, so the same capability applies to both airports and rail stations: live crowd density and occupancy per zone against safe-capacity thresholds, directional passenger flow and path data across concourses, corridors and interchanges including counter-flows, queue length and wait estimates at gates, ticketing and security, platform and track safety events, concession and advertising-space footfall and dwell, and a searchable labelled incident archive covering falls, fights, abandoned objects and rough sleeping. Because it runs on installed cameras rather than new sensors, the dataset inherits the full camera density of an existing hub, which is broader coverage than a new-build LiDAR deployment typically achieves
From 2 yearsCoverage Information Technology · IndustrialsAsset class Equities
Sample, licence terms, pricing and eval results when Synapsi (Synapsi.ai) publishes them. Until then, discover alternatives today with a 7-day trial.
Start 7-day trial →What buyers ask about Synapsi (Synapsi.ai), answered from this page.
Synapsi (Synapsi.ai) — Camera-derived transport-hub analytics generated from clients' pre-existing CCTV estate, so the same capability applies to both airports and rail stations: live crowd density and occupancy per zone against safe-capacity thresholds, directional passenger flow and path data across concourses, corridors and interchanges including counter-flows, queue length and wait estimates at gates, ticketing and security, platform and track safety events, concession and advertising-space footfall and dwell, and a searchable labelled incident archive covering falls, fights, abandoned ob…
Synapsi (Synapsi.ai) offers (Alternative, Geospatial, Sentiment) — Potentially high per site and low in aggregate. Per instrumented hub, order 10^7-10^8 metric rows and 10^5-10^6 archived event records annually, because a live CCTV estate typically runs tens to hundreds of cameras and the product derives metrics from all of them rather than a sparse new sensor grid — the reuse-existing-cameras design is precisely what makes per-site volume high. Aggregate volume across the vendor is however bounded by customer count, which a 2-person company plausibly holds in single digits, so total licensable volume is modest today.
Public-safety computer-vision training data, which is the strongest angle: labelled fall, fight, abandoned-object and platform-incursion events are scarce, hard to collect ethically, and directly valuable to camera and safety-system vendors and to rail and airport operators' own models; rail platform and track-safety datasets for yellow-line and incursion detection, a domain almost no airport-only vendor touches; crowd-forecasting model training using forming-peak labels ahead of congestion; station and terminal capacity and wayfinding design; retail leasing and advertising rate-card benchmarking from concession footfall and dwell evidence, a commercial dataset with a natural buyer in retail property and media valuation; and long-tail safety-event corpora for regulatory and insurance analysis
The data is with 2 years of history.
Coverage spans US, UK, Other; Application Software, Rail Transportation; alternative, geospatial, sentiment; equities.
Synapsi (Synapsi.ai) has not added their own details yet. Not yet on file: