WebOccult WebOccult Gotilo Gotilo
The Gotilo platform
Platform overviewOne deployment, every camera on site Gate automationANPR, container OCR, damage evidence Yard and vehicle trackingLive slot, movement history, search
How it runs
Edge deploymentRuns on site, no cloud dependency IntegrationsTOS, ERP, VMS and gate systems What it changesThe numbers from live sites
WebOccult Services
Custom CV developmentModels trained on your site conditions POC to productionA measured pilot before you scale
175+

Active Deployments at ports, plants and enterprise campuses across the Globe

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Logistics and ports
Container OCRISO 6346 code reading at gate speed ANPR and gate automationPlate capture, ticketing, barrier control Yard automationSlot occupancy, planning, movement audit Reefer monitoringSet point reads and exception alerts
Quality and manufacturing
Surface defect detectionScratch, dent, weld and finish faults Print and label verificationBatch codes, artwork, placement Production line monitoringCounts, stoppages, line health Railway track monitoringFastener, ballast and clearance checks
Safety and people
PPE complianceHelmet, hi vis, shoes, goggles, gloves Hazard and zone alertsRestricted area and proximity warnings Vehicle speed monitoringIn plant speed limits, repeat offenders People counting and attendanceHeadcount, staff entry validation
2 to 4 weeks

From first camera to a working proof of concept on your own lane.

View all use cases
Logistics
Ports and terminalsGate to yard visibility CFS and ICDStuffing, destuffing, custody records Empty depotsCondition grading on arrival
Industrial
ManufacturingInline quality and line health Steel and heavy equipmentHot, dusty, high risk environments SemiconductorPrecision defect detection
Enterprise
Government and infrastructureSurveillance and compliance Banking and financeBranch security and attendance Retail and educationFootfall, safety, access
230+

Gate lanes live on Gotilo across Ports, Terminals, Plants and Yards.

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BlogField notes from live sites Case studiesBefore, after and the numbers
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WebOccult InsiderMonthly newsletter for operations teams ExhibitionsWhere to meet us next
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  • Industrial PC partners
  • Camera & Lights Partners
  • Edge Ai Partners
  • VMS Partners
  • System Integrators
  • Global Partners
27

Global partners building and deploying Gotilo with us.

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Company
About usSee beyond vision Our storyFrom services to a product platform
People
CareersCurrent openings Life at WebOccultHow the team works
Reach us
ContactAhmedabad, North Carolina, Tokyo, Milan SupportExisting deployments
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WebOccultGotilo

Pollution Monitoring

Track pollution in real time and take counter measures.

Pollution Monitoring BNR

Work for a cleaner, healthier environment with AI

Pollution Monitoring 2

Keeping track of air, water and land pollution in industrial, urban and natural environments. It is necessary for many organizations. This can be effectively done using a pollution monitoring system powered by computer vision and AI by leveraging real-time data from sensors, cameras and satellite images. It is to take proactive steps for pollution reduction with environmental monitoring solutions.

Our holistic view to challenges

Challenges

Detecting pollution hotspots

Detecting pollution hotspots

Traditional monitoring methods cannot provide real-time data. Also, it cannot provide location-based data on pollution.

Real-time detection

Real-time detection

The Pollution detection system continuously analyzes environmental data and identifies pollution sources and hotspots instantly.

Compliance monitoring

Compliance monitoring

Without efficient tracking, industries struggle to adhere to pollution control norms.

Automated tracking

Automated tracking

Ensure regulatory compliance by detecting excessive emissions and discharges in real time through air quality control system integration.

Features

Responding to hazards

Responding to hazards

Delayed identification of pollution spikes can lead to significant environmental damage.

Instant alerts

Instant alerts

Our smart air quality monitoring setup provides real-time notifications when pollution levels exceed safe thresholds.

Control strategies

Control strategies

Lack of precise data makes it difficult for organizations to implement pollution control measures.

Data-driven insights

Data-driven insights

AI analytics support industrial water pollution control, water quality monitoring and contamination detection to help industries, municipalities and researchers develop targeted pollution reduction strategies.

AI-powered pollution monitoring can help act 30% faster by real-time alerts of crossed thresholds.

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Who benefits from Pollution Monitoring?

Pollution monitoring is important for environmental authorities. It is also important for organizations working to maintain environmental quality and public health.

Pollution Monitoring 3
  • Government agencies
  • Industrial plants & factories
  • Smart city planners
  • Water treatment facilities

How it works?

process
Data collection & sensor integration

Data collection & sensor integration

Gather data from IoT sensors, satellite feeds and camera networks for real-time monitoring.

AI model training

AI model training

The AI model is trained to recognize pollution sources, chemical compositions and perform precise contamination detection.

Real-time monitoring

Real-time monitoring

Enable 24—7 surveillance with instant alerts. It is when pollution thresholds are exceeded.

Enforcement & recommendations

Enforcement & recommendations

Use AI insights to ensure compliance and implement targeted control strategies.

Insights on innovation

Stay updated with the trending and most impactful tech insights. Check out the expert analyses, real-world applications, and forward-thinking ideas that shape the future of AI Computer Vision and innovation.

June 26, 2026 - 4 minutes to read

Do It Safe, Then Prove It: Insurance-Grade Footage for Yard Safety Compliance

Three months after the incident, the assessor sits across from Meera, the operations manager, and slides a form over the desk. She is ready for questions about helmets, about whether the supervisor was present, about protocol. He asks none of them. He asks one thing instead: show me the footage. Meera’s yard runs safety well. […]

Read More

Ruchir Kakkad

CEO & Co-founder

June 24, 2026 - 4 minutes to read

22 vs 30 Moves an Hour: Finding the Hidden 1% Gains in Terminal Productivity

Deepak runs operations at a mid-size terminal, and one number has bothered him for a month. Two ship-to-shore cranes, side by side. Same model, same year, same maintenance schedule. Crews rotate between them every shift. One averages 22 moves an hour. The other averages 30. He sends a maintenance team over the slow one. They […]

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Ruchir Kakkad

CEO & Co-founder

June 23, 2026 - 4 minutes to read

Empties Are Inventory, Not Furniture: Smart Empty Container Yard and CFS Management

Pravin has run the empty depot for nine years, and he will tell you he knows every box in it. Then he walks you to the far corner, points at a container furred with dust, a small spider web in the corner casting, and goes quiet. It came in months ago. Nobody remembers the booking. […]

Read More

Ruchir Kakkad

CEO & Co-founder