Manual Inspection in Manufacturing is Inefficient, Unreliable & Expensive


Enhancing Manual Inspection with AI Visual Inspection

Ombrulla transforms manufacturing defect detection by implementing precise Artificial intelligence-based quality control, enhancing product quality while reducing production costs.

  • Spot defects imperceptible to human inspectors.
  • Inspect products faster than humans.
  • Ensure consistent product inspection.
  • Provide real-time feedback to inspectors.


How AI Visual Inspection Enhance Quality Control?

AI Defect Detection

Metal and Steel Manufacturing

AI Quality control system to Identify cracks, surface imperfections, colour inconsistencies and other defects in metal sheets and bars, while also inspecting welds for quality and consistency.

AI Quality Control

Textile & Plastic Manufacturing

Examining fabric for imperfections, colour discrepancies, and weave irregularities, and similarly, (inspecting) plastic parts for flaws such as cracks, bubbles, and missing features.

AI Visual Inspection

Automotive and Food Manufacturing

Conducting inspections on automobile-painted surfaces for scratches, blemishes, and inconsistencies, alongside identifying foreign objects and contaminants in food products.


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Business Benefits

Enhanced Accuracy and Consistency

AI visual inspection systems are capable of identifying defects and anomalies with greater accuracy than humans. As a result, quality control processes become more consistent and dependable.

Increased Efficiency and Productivity

The use of AI to automate defect detection can considerably speed up the inspection process. This is especially useful in businesses where vast numbers of products must be inspected fast.

Improved Quality and Compliance

Implementing AI visual inspection enhances product quality by detecting defects with precision, reducing human error, and ensuring consistent, high-quality output boosting productivity.

Data-driven Decision Making

The data generated by AI visual inspection for defect detection can be used for analytics and informed decision-making. Insights gained can be used for quality improvements and process optimisations.


How AI visual inspection replaces human inspection with the power of Artificial Intelligence?

AI Visual Inspection, also known as automated visual inspection or machine vision inspection, is a technology that utilizes artificial intelligence (AI) and computer vision algorithms to inspect and analyze objects or products in various industries. This technology aims to replace or augment human visual inspection processes with automated systems, offering several advantages such as increased accuracy, speed, and consistency.
Here's how it generally works:
  • Image Acquisition: The system captures images or videos of the objects or products to be inspected using cameras or sensors.
  • Preprocessing: The captured images may undergo preprocessing steps such as noise reduction, image enhancement, and normalization to improve their quality and suitability for analysis.
  • Feature Extraction: Computer vision algorithms analyze the images to extract relevant features or characteristics of the objects, such as shape, color, texture, and size.
  • Defect Detection: Using Artificial Intelligence techniques like deep learning, the system compares the extracted features against predefined standards or models to detect defects, anomalies, or deviations from the expected quality.
  • Decision Making: Based on the analysis results, the system makes decisions on whether the inspected objects meet the required quality standards. It may classify items as acceptable or reject them if they exhibit defects or deviations.
  • Feedback and Optimization: The system may provide feedback to improve its performance over time, such as by learning from past inspection results or user feedback.
AI Visual Inspection or AI Defect Detection can be applied across various industries, including manufacturing, automotive, electronics, pharmaceuticals, food and beverage, and more. It offers benefits such as increased inspection speed, reduced error rates, improved product quality, and cost savings by minimizing the need for manual labor. Overall, AI Visual Inspection represents a significant advancement in quality control and assurance processes, enabling businesses to enhance their efficiency and competitiveness in today's fast-paced and demanding market environments.

What are the benefits of AI Visual Inspection in the manufacturing or production industry?

Which industries commonly rely on AI visual inspection for their quality control processes?

What types of defects can AI Visual Inspection detect?

How can I calculate the ROI of an AI visual inspection project?

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