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TRITVA – AI Visual Inspection Platform

AI AppsComputer Vision Tools#127Contact for pricing · Industrial Cameras, Drones, Mobile Devices

TRITVA is an AI visual inspection platform that detects defects and safety risks in real-time. It integrates with industrial systems to automate quality workflows, reducing labor costs and improving safety across various industries.

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TRITVA – AI Visual Inspection Platform screenshot
TRITVA – AI Visual Inspection Platform screenshot

TRITVA is an AI-powered visual inspection platform designed to detect quality defects, structural anomalies, and safety hazards in real-time across industrial and field environments. It ingests images and videos from multiple sources such as fixed industrial cameras, drones, autonomous rovers, cobots, and mobile devices. The platform is built for industrial scale, enabling users to catch defects at line speed and inspect infrastructure from the air.

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TRITVA offers significant business benefits, including measurable ROI with typical annual savings of £500K–£1.5M for mid-size manufacturers through avoided quality costs. It helps lower the cost of quality, increase throughput without compromising quality, and turn quality data into real-time decisions. The platform simplifies compliance and audit readiness, protects revenue by preventing defect escapes, and scales inspection without scaling headcount.

The platform supports various deployment options, including cloud, on-premises, and edge, making it versatile for different industrial environments. TRITVA's capabilities include multi-source inspection data capture, no-code defect detection training, real-time defect identification, adaptive self-learning models, and drone and remote asset inspection. It also features digital inspection workflows, live dashboards, and multi-site analytics.

Industries that rely on TRITVA for AI visual inspection include oil and gas, manufacturing, automotive, and construction. The platform integrates seamlessly with major ERP, MES, and quality management systems like SAP, Oracle, Siemens, and IBM Maximo. It supports offline or air-gapped environments, making it suitable for secure manufacturing environments with strict network isolation policies.

  • CategoryComputer Vision Tools
  • Pricing ModelContact for pricing
  • DeploymentCloud, On-Premises, Edge
  • PlatformsIndustrial Cameras, Drones, Mobile Devices

  • Multi-source data capture

  • Real-time AI inspection

  • No-code defect detection training

  • Adaptive self-learning models

  • Drone and remote asset inspection

  • Digital inspection workflows

  • Live dashboards and multi-site analytics

  • Enterprise architecture and compliance

  • Pre-built ERP and MES integrations

  • Edge deployment for offline environments

  • Cloud, on-premises, and hybrid deployment options

  • Automated quality notifications

  • Defect classification with confidence score

  • Full REST API and webhook support

  • Compliance and audit readiness

  1. Configure: Set up data sources and inspection parameters

  2. Deploy: Choose deployment option (cloud, on-premises, edge)

  3. Use: Conduct real-time inspections and monitor dashboards

  4. Optimise: Continuously improve models with adaptive learning

  • Pre-despatch Inspection
  • Mobile AI Inspection
  • Drone Infrastructure Inspection
  • Quality Control Automation
  • Safety Hazard Detection

From Ombrulla

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