AI for Quality Inspection

Reduce errors and risks, lower costs, and protect your brand with AI solutions for end-to-end quality inspection

  • Make human inspection consistent, reliable and traceable
  • Add advanced AI capabilities to existing and new automated inspection applications
  • Develop and deploy custom and open source quality inspection workflows

AI for End-to-End Quality Inspection

Our AI expertise is proven in manual and automated inspection of consumer goods, manufactured parts, food & beverage, and print & packaging

Reduce

Errors that result in poor product quality, waste, and cost secondary screenings

Ensure

Brand standards and meet safety and compliance requirements

Inspect

Challenging materials, such as metal, glass, fabric, wood, and irregular shapes

Automate

Error-prone manual inspection and assembly processes

Reduce Quality Escapes and Costs with AI for Manual Inspection

Camera-based system with integrated Inspection and Tracking & Reporting apps quickly identifies product differences, automates decisions, and provides valuable data to help improve manual processes

Inspection Apps Make Errors Obvious

Visually highlight product difference during incoming, in-process and final manufacturing steps. Eliminate subjective, inconsistent, and stressful human decision-making to reduce errors that result in poor product quality, damage brand reputation, and increase production costs. Get started with just one good image, with transparent AI model training based on initial operator decisions. After even just one inspection, AI will start suggesting decisions for your operators.

Tracking & Reporting for Manual Processes

Tracking & Reporting apps include automated and customizable tools to provide data on manual tasks. Collect actionable insight from manual processes, including suspected and confirmed defects and user notes. Record and save images for manually inspected products locally or in the cloud for traceability, shipment management, and batch tracking. Integrated two-way communication with manufacturing resource planning tools helps monitor manual steps and speeds issue resolution and process improvement initiatives.

Production-Ready and Customizable Apps

Improve your frontline processes, with a growing library of shop floor-ready apps that help increase productivity without requiring coding or design – scan and save barcodes, track inventory, manage raw materials, count components, and more. Developers can take advantage of our eBUS AI Studio development platform to design and deploy their own solutions or customize open source quality control workflows for unique requirements.

How to Improve Manual Inspection

Easily train and deploy AI and machine vision capabilities to identify product differences and improve product traceability

Interactive Demo: Decision-Support and Electronics Inspection

Learn how the Visual Inspection System highlights products differences, and uses operator actions to transparently train an AI model to improve decision support.

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AI Decision-Support for Manufacturers

Pleora makes human inspection consistent reliable, and traceable. Learn how an electronics manufacturer and distillery use the system to ensure quality and make processes repeatable and traceable.

DICA Electronics

Detect product errors commonly missed by automated optical inspection (AOI), such as component orientation, solder defects, through-hole issues, and labelling.

Dairy Distillery

Decision-support for manual manufacturing and visual inspection to ensure brand consistency in highly competitive market.

Visual Inspection System

Design and Deploy AI for Automated Inspection

Drag-and-drop “no code” algorithm design, customizable plug-ins, seamless edge processing integration with existing equipment and processes

No Code desktop monitor

Streamlined Algorithm Development

Get started quickly with off-the-shelf AI and machine vision plug-ins for common quality inspection tasks. Non-experts can design, train, and deploy “no code” plug-ins without needing specialized development skills. Skilled users can prototype and test algorithms, mix computer vision and AI skills, and customize widely available open source models with eBUS AI Studio.

Seamless AI Deployment

Connect and Communicate

Our unique standards-based approach ensures full compatibility with third-party cameras, sensors, processing solutions, and libraries. Add AI inspection without disrupting proven computer vision applications, existing infrastructure, and end-user processes. Enable two-way communication with PLCs to control other vision system components over a range of networking protocols, including Ethernet/IP, Modbus RTU, Profinet, Profibus, and Modbus TCP.

Hyperspectral laptop

Display Results and Share Your Data

AI inspection data can be seamlessly shared with and received from ERP and manufacturing analytics platforms to help monitor end-to-end quality and processes. Integrated MQTT and OPC-UA no-code blocks ensure future-proof Industry 4.0 compatibility.

How to Deploy AI for Automated Inspection

Our unique “hybrid AI” approach is a simple, low-risk way to add advanced capabilities to existing inspection applications

Streamline AI Deployment for Automated Inspection

Learn how integrated algorithm development and deployment solutions help manufacturers simplify AI to help ensure end-to-end quality

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AI Solutions for Automated Inspection

AI for End-to-End Quality

Parts

Quality inspection of manufactured parts ensures products meet specifications and performance requirements.

Food & Beverage

AI enhances traditional quality inspection to reduce errors, ensure food safety and avoid product recalls, and automate manual tasks.

Consumer Goods

Quality inspection of consumer goods ensures products meet specifications, brand criteria for appearance, and mandatory standards for packaging, labeling, and instructions.

Manual Inspection

The inspection system intuitively guides operators through the manufacturing process and automatically identifies and visually highlights differences and deviations.