#1 Vision Inspection Software for Quality

Machine vision inspection software,
with superpowers.

Deploy our machine vision system in seconds. With just a few clicks, you can automatically detect defects and instantly scale inspection recipes across production lines. Unify everything in a secure cloud platform for completely visibility and total control.

CAPTURE

No-code camera configuration

Configure vision sensor settings from anywhere using our intuitive, no-code tools. Cloud-synced configurations deploy instantly across all your lines and facilities, ensuring consistent image processing and high accuracy quality control.

Capture uses AI to accelerate the setup and inspection process. Auto Detection (patent pending) automatically triggers a camera frame when a part comes down the line.

Request a demo of our No-Code tools

“

We are proud to partner with Elementary on the modernization of our quality inspection program. It is very exciting to see all of the actionable data that the system produces as it gives us great insight into the efficiency of our operations.

Chris Rolenc

Principal Engineer at Milwaukee Tool

CONFIGURE

Traditional vision capabilities + powerful deep learning

Our vision inspection software combines AI tools with traditional machine vision tools. You can configure precise pass criteria and KPIs such as "Target Yield" to track operational performance across your machine vision inspection stations. Tools are data-driven, meaning the same anomaly tool works across different use cases and industries.

Non-technical staff can create inspection recipes with our intuitive visual editor, even for complex defect detection.

Tools are data-driven, which means that the same anomaly tool works across different industrial automation use cases with consistent visual inspection accuracy.

Learn more about configuring tools

“

Elementary’s platform will bring value to our production lines by allowing us to automate traceability scans and add AI, machine vision, and automation.

Jason Puckett

Vice President of Manufacturing,
Toyota Motor Manufacturing Indiana

TRAIN

Autonomous AI for rapid defect detection

With VisionStream, models train in seconds, even for complex defect detection scenarios. The system can identify surface anomalies, dimensional variations, assembly errors, and label defects across diverse materials. With each inspection, your AI models continuously improve, increasing detection accuracy.

Our platform supports various vision sensors, including area scan, line scan, and X-ray, enabling quick deployment and scalability. The training process is streamlined to minimize downtime and maximize manufacturing efficiency.

The training report is where you can evaluate your deep learning model's performance . Run data collection on sample parts and automatically train an AI-model for your inspection process, to detect defects in seconds.

Learn more about data collection and training

“

We are excited for the opportunity to leverage Elementary's innovative technology to ensure the highest quality all natural pizza is making it into our customers' hands

Nick Perrino

COO at Home Run Inn Pizza

DEPLOY

Deploy to your AI vision controller

Vision controllers run ultra-fast image processing, enabling real-time image analysis and automated inspection. Detect product defects in milliseconds, trigger immediate rejection, and seamlessly integrate with PLCs for dynamic manufacturing control. Make split-second decisions directly on the production line without cloud latency.

Our machine vision controllers operate at speeds up to 1,000 parts per minute and integrate seamlessly with all major PLCs, including Allen-Bradley.

Create a connected industrial automation ecosystem. Share and deploy inspection recipes across global production lines, enabling continuous learning and improvement across all machine vision systems and sites.

Learn more about deploying from anywhere

“

Toyota is always looking for ways to leverage innovative technologies to help our employees and improve the manufacturing process, and we’re excited to partner with Elementary in our Indiana plant.

Jason Puckett

Vice President of Manufacturing,
Toyota Motor Manufacturing Indiana

ANALYZE

Account for every part and drive better operations

Track every part on your line with 100% traceability. Capture serial numbers and find any part instantly, with all all records and images preserved for audits and recalls.

Drive operational improvements with real-time analytics. Our platform monitors yield and throughput on every line, enabling proactive measures to optimize production.

Generate reports automatically and receive real-time alerts when defect rates exceed predefined thresholds. Integrate with BI, MES, and ERP systems.

Analyze is how Elementary drives "closed-loop-quality" for our customers, enabling root cause analysis to get to the core of production issues and avoid producing bad parts altogether.

Learn more about our inspection metrics and analytics

“

The ease of use of this technology, coupled with its rich data analytics, gives us the power to take quality to the next level.

Nick Perrino

COO at Home Run Inn/Pizza

Industries
Served

Learn how Elementary’s machine vision systems are being used for a wide range automated inspection and defect detection applications, and can be tailored to industry specific requirements to deliver defect free products.

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Food and Beverage

Ensure product safety and consistency with artificial intelligence that detects contaminants, checks packaging integrity, and verifies label accuracy at high speeds, for greater manufacturing efficiency

Automotive

Improve manufacturing efficiency with machine vision that inspects intricate components, welds, and assemblies, reducing product defects and enhancing vehicle safety

Paper and Pulp

Boost production efficiency with AI that monitors paper quality, detects defects, and ensures consistent quality control in high-speed environments

Consumer Packaged Goods

Optimize packaging quality and production efficiency with AI that scrutinizes seals, detects deformations, and ensures proper labeling across various container types

Industrial and Construction

Improve the quality of industrial products using a machine vision system to identify damaged goods and prevent delivery of potentially hazardous materials used in construction