ConductVision Enterprise
ConductVision watches rivers, wetlands and shorelines through fixed cameras and logs smoke plumes, waterbirds, boats and people for the teams that manage those sites.
6 detectionsConductVision detections on this photo.
Environmental Monitoring is a capability unique to ConductVision, built on ConductScience's decade of experience equipping field researchers with environmental measurement tools. The system uses standard cameras, ground-mounted, tower-mounted, or drone-carried, to detect rising water levels, flood conditions, vegetation health changes, soil erosion, and air quality indicators such as visible particulate plumes. This can turn existing camera infrastructure into a continuous environmental observation network, providing early warnings that were previously only possible through expensive, dedicated sensor networks or manual site visits.
Outcomes
Smoke from burns, fires and dusty haul roads drifts across a site, and no one notes when it started or stopped.
When a neighbor asks about a smoky day, the site has no timed record to check against.
Waterbird surveys happen on a few mornings each season, when staff can reach the site.
Counts from a few visits can miss the weeks when birds arrive, peak and leave.
Boats stay moored and people stay on banks and channels while the water rises.
During a flood watch, staff cannot see who is still on the water without driving out to look.
Seasonal closures protect nesting and resting areas, but staff cannot watch every shoreline.
Disturbance during a closure goes unrecorded, so managers cannot tell whether signs and patrols work.
What the model sees
ConductVision detections on this photo.
ConductVision detections on this photo. Photo: 藤谷良秀, CC BY-SA 3.0, cropped.
Endpoints
Each endpoint is defined before the pilot starts, with what is counted, its unit and how the results are broken down.
| Endpoint | How it is counted | Unit | Broken down by |
|---|---|---|---|
| PrimaryTime to alert | Minutes from the first frame that shows a logged event, such as smoke or an entry into a closed area, to the alert reaching staff. | Unit:minutes (median) | By:Camera, event type |
| SecondaryPlume hours | Hours with visible smoke or dust in view, counted from the first to the last frame of each logged plume. | Unit:hours per week | By:Camera, site |
| Waterbird count | Birds counted in each sampled frame, reported as the daily mean and the daily peak. | Unit:birds | By:Camera, day |
| Closed-area entries | People or boats detected inside a closed area during its closure dates, counted once per entry. | Unit:entries per week | By:Area, hour |
| High-water activity | Boats, people and vehicles detected in channel views while a high-water alert is active. | Unit:detections per alert-hour | By:Camera, alert |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Plume precision
Share of smoke and dust alerts that a reviewer confirms as real plumes in a hand-checked sample of alert stills.
% · by camera, time of day
Count agreement
Difference between the ConductVision bird count and a hand count by a reviewer on a sample of frames.
birds per frame (mean absolute difference) · by camera, flock size
False alerts
Alerts a reviewer rejects, such as fog, steam or glare taken for smoke, per camera per day.
alerts per camera-day · by camera, alert type
How it works
Connect
Position cameras at riverbanks, coastlines, construction slopes, green infrastructure sites, or anywhere environmental change needs monitoring. Solar-powered enclosures with cellular uplinks enable deployment in remote locations.
Analyze
Baseline models learn the normal visual state of each camera view. Change detection algorithms identify deviations, rising water, expanding erosion, browning vegetation, or unusual particulate density, and classify them by type and severity.
Act
Threshold-based alerts notify environmental managers, emergency services, or facility operators when conditions exceed defined parameters. Time-lapse reports document changes over days, weeks, and seasons.
What it detects
Smoke
Visible plumes in view, with the first and last frame of each one
Fire
Open flame in view, raised as an alert
Bird
Each bird on water or shore, counted per frame
Boat
Each boat on the water or moored along a bank
Person
Each person on banks, shorelines and closed areas
Car and truck
Vehicles on access roads, banks and flooded crossings
Features
Use cases
Municipalities need advance warning of flooding from rising rivers and storm surges. Camera-based water level monitoring can provide continuous data without maintaining expensive in-stream gauge networks.
governmentsmart city
Construction projects must monitor erosion and stormwater runoff per environmental permits. Continuous camera monitoring can document compliance and detect erosion events between manual inspections.
constructiongovernment
Coastal communities and agencies track shoreline retreat and dune erosion over time. Camera-based monitoring can provide daily measurements where annual surveys previously were the only option.
governmentconservationreal estate
Farmers and agronomists need to detect crop stress early. Fixed cameras at field edges or drone flyovers processed by the platform can detect color changes indicating water stress, pest damage, or nutrient deficiency.
agriculture
Restoration projects require documentation of vegetation establishment and water regime over years. Camera monitoring can provide quantified visual records that satisfy grant reporting requirements.
conservationgovernmentresearch
Mining operations monitor tailings ponds, waste rock slopes, and receiving waterways for environmental changes. Automated detection can supplement manual sampling and inspection programs.
mininggovernment
Municipalities investing in rain gardens, bioswales, and green roofs need to verify they function as designed. Camera monitoring can track water retention, vegetation health, and overflow events.
smart citygovernmentconstruction
The challenge
Wildlife corridors connecting fragmented habitats are critical for species survival, but their effectiveness is difficult to measure without continuous monitoring.
How ConductVision helps
ConductVision can detect and classify animals using corridor passages, logging species, count, direction, and timing. This data can help ecologists evaluate corridor utilization and advocate for infrastructure modifications that improve connectivity.
researchsmart cityinfrastructure
The challenge
Identifying species from camera trap images is labor-intensive, often requiring expert review of thousands of frames that are mostly empty or contain false triggers.
How ConductVision helps
The platform can filter empty frames automatically and classify detected animals by species using trained models. Researchers can receive organized datasets with species labels, dramatically reducing manual review time and enabling larger-scale studies.
researchagriculturesmart city
The challenge
Early signs of illness, distress, or predator encounters in livestock herds are missed when animals are spread across large pastures.
How ConductVision helps
ConductVision can monitor herd activity patterns, detecting anomalies such as isolation from the group, reduced movement, or agitation. Ranchers can receive alerts that enable earlier veterinary intervention and faster predator response.
agricultureresearch
The challenge
Rising water levels in rivers, retention basins, and coastal areas require continuous observation, but staffing gauge stations around the clock is impractical.
How ConductVision helps
The platform can track water levels visually using reference markers in the camera view, providing continuous level readings and rate-of-change alerts. This can supplement traditional gauge networks and provide visual confirmation during flood events.
smart cityinfrastructureresearch
The challenge
Monitoring vegetation health across large areas requires frequent field surveys that are costly and limited in spatial coverage.
How ConductVision helps
ConductVision can analyze camera feeds and drone imagery for visible indicators of plant stress such as color changes, wilting, and canopy gaps. Time-series comparisons can reveal trends that help land managers prioritize intervention areas.
agricultureresearchsmart city
The challenge
Air quality sensor networks are sparse, and communities near industrial sites need supplementary monitoring to detect visible emissions events.
How ConductVision helps
The platform can detect visible smoke, dust, and haze events from camera feeds, providing time-stamped evidence of emission events. This visual monitoring layer can complement sensor data and support community and regulatory reporting.
smart citymanufacturingoil gas
Technical overview
Accuracy and speed are measured on your footage and cameras during the pilot, and reported with the conditions they were measured under.
Industries
Counts traffic and watches crews on bridges, rail lines and roads.
Tracks staff and protective gear on assembly lines and in clean rooms.
Tracks people and protective gear in laboratories and field stations.
Tracks haul trucks, excavators and crews across the pit.
Watches crews, trucks and PPE at substations, solar farms and power lines.
Tracks trucks, crews and equipment at sorting halls and landfills.
Related
Finds, counts and tracks animals in pens, pastures and camera-trap footage.
Flags visible flame and smoke in camera views, with a clip of each event.
Finds people, vehicles and animals in thermal camera frames, day or night.
Pilot
A pilot takes one prioritized outcome, runs on your cameras, reports the endpoints above and ends with a results review and a decision.
