Set opening times to real demand
Counts pedestrian footfall by hour
On-device people counting reveals true footfall patterns, so operators align staffing and opening hours to when people actually arrive.
Counting & Flow Node
Each Exsiccata node senses what matters on-site, understands it on-device, and acts on it — transmitting only the result, never raw video. Here is what that looks like in the field.
Counts pedestrian footfall by hour
On-device people counting reveals true footfall patterns, so operators align staffing and opening hours to when people actually arrive.
Counting & Flow Node
Counts vehicles and checks speed
Vehicle counting and speed estimation on-device feed adaptive traffic management without streaming any raw video.
Counting & Flow Node
Monitors flow through roadworks
Counting through constrained lanes during roadworks lets operators reroute and re-phase signals before congestion builds.
Bidirectional Control Node
Measures air quality on-site
PM2.5, NO₂, CO₂ and VOC sensing with on-device anomaly detection turns compliance reporting into a live signal, not a quarterly audit.
Environmental Node
Monitors sound level and adjusts
Continuous noise monitoring lets building systems and city operators respond to breaches the moment they happen.
Environmental Node
Gauges crowd activity level
Activity and density inference flags crowding early, so operators act before a space becomes unsafe.
Vision Node
Counts free seats and dwell time
Seat-occupancy and dwell-time analytics help operators publish live availability and understand how spaces are used.
Counting & Flow Node
Counts waiting people, times the lift
Counting people waiting lets a building agent dispatch lifts predictively, cutting wait times at peak.
Bidirectional Control Node
SKU 4Predicts remaining machine lifetime
Vibration and current-draw signatures on building plant — lifts, pumps, chillers — predict remaining life. One avoided failure can justify a whole deployment.
Predictive Health Module
Footage shown is from real deployments and demonstrations. All counting and inference runs on-device; only results leave the node, keeping deployments compliant with PDPL, PDPA and GDPR.