A Visual Inspection System Monitors Inventory Levels

Automated visual inspection - ScienceSoft

Automated Visual Inspection (AVI) is a form of quality control, which involves the analysis of products in the production line with computer vision.

Since 2013, ScienceSoft develops AVI software to help companies improve defect detection rates and reduce production costs.

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Does your production line need AVI?

Interested in AVI for the Production Line?

ScienceSoft provides a detailed consultation to reveal whether AVI software will help you save time and minimize the efforts required for the inspection process.

  • Higher optical resolution.
  • Measures absolute dimensions and intensity values.
  • Wider "visible" spectrum.
  • Very fast and precise calculations.
  • Higher processing speed.
  • "Absolute" memory.

Machine vision capabilities

Besides that, the automated visual inspection systems have several pros that are intrinsic to the entire machine kind:

  • Unbiased.
  • Persistent.
  • Work without fatigue.
  • Follow instructions unquestionably.
  • Can operate in risky and dangerous conditions.

Quality Control

Ensuring high production quality by reducing both false positive and false negative test results.

Production Line Automation

Minimizing efforts required for defects detection through the automation of monotonous visual inspection, grading and sorting tasks.

  • 33 years in manufacturing IT.
  • 33 years in C++ development.
  • Image analysis expertise since 2013 .
  • Listed among The Americas' Fastest-Growing Companies 2022 by Financial Times .
  • Experience in data science and AI since 1989 .
  • 700+ highly skilled employees on board.
  • Established Lean, Agile, and DevOps processes.

AVI system structure

  • Equipment for image acquisition (lighting or a radiant; a digital camera, photometer, colorimeter, etc.), software running (a processor) and data output (monitor, printer, etc.).
  • Supplementary equipment (e.g., for grading and sorting).
  • Software that processes digital images and produces a valuable output.

explore the processing chain of the AVI system

ScienceSoft creates AVI software that analyzes images captured by a digital camera, starting with preprocessing and up to the final decision step.

How AVI works

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AVI software functions

  • Displaying inspection results.
  • Automatic discarding of defective items.
  • Marking items for further human inspection.
  • Sorting and grading objects according to predetermined parameters (shape, size, color, etc.).

Image analysis capabilities of AVI software

Automated visual inspection software developed by ScienceSoft can detect and classify:

  • Surface defects: scratches, stains, nodules, etc.
  • Positioning and orientation: correctness of assembly components' orientation.
  • Dimensions, shapes and angles.
  • Completeness: components on a printed circuit board, barcodes on a parcel, a filling level of a bottle.
  • Texture.
  • Color and reflectivity.
  • Presence of foreign objects.

Manufacturing Domains We Work With

Plan Out Your AVI Budget

ScienceSoft provides a high-level free estimate to help you determine your AVI project budget and manage your resources efficiently.

Development of Automated Visual Inspection Software for Defect Recognition in Polyurethane Film

Development of Automated Visual Inspection Software for Defect Recognition in Polyurethane Film

ScienceSoft built image recognition software for improving quality control at the Customer's PU film manufacturing division by detecting film defects in real time.

Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

ScienceSoft empowered a manufacturer of oil drilling equipment with the defect-recognition application used to detect drill bit defects and perform drill bit wear analysis.

Development of an Automated Visual Inspection Mobile Application for a Luxury Vehicles Manufacturer

Development of an Automated Visual Inspection Mobile Application for a Luxury Vehicles Manufacturer

ScienceSoft delivered an image recognition solution that allowed the Customer to speed up user registration in the customer service system by 10 times.

Design on an Image Analysis Application for Remote Monitoring of Oil Storage Tanks

Design on an Image Analysis Application for Remote Monitoring of Oil Storage Tanks

ScienceSoft designed an image analysis application to help optimize inventory management and detect oil leakage by remotely monitoring oil storage tanks in real time.

Development of Image Analysis Software for Automated Optical Inspections

Development of Image Analysis Software for Automated Optical Inspections

ScienceSoft enabled automated optical inspection of printed circuit assemblies (PCA) with the application that enhanced the PCA manufacturing workflow, saving time and meeting the highest quality standards.

Development of an Automated Visual Inspection Application for LED Display Quality Diagnostics

Development of an Automated Visual Inspection Application for LED Display Quality Diagnostics

ScienceSoft developed a cross-platform application for Linux and Windows for real-time video monitoring, error detection and notification.

Technologies We Apply

Programming languages

Libraries and frameworks

Platforms

Databases / data storages

Cloud databases, warehouses and storage

AWS

Amazon S3

Amazon Redshift

Amazon DynamoDB

Amazon DocumentDB

Amazon Relational Database Service

Amazon ElastiCache

Azure

Azure Data Lake

Azure Blob Storage

Azure Cosmos DB

Azure SQL Database

Azure Synapse Analytics

Kinect DK

Azure RTOS

Google Cloud Platform

Google Cloud SQL

Google Cloud Datastore

Clouds

Cloud services

AWS: Amazon Rekognition

GCP: Google Cloud Vision API

Azure: Computer Vision, Face, Custom Vision, Form Recognizer, Video Indexer, Microsoft Emotion API

Algorithms

Convolutional neural networks

Machine learning

Support Vector Machine (SVM)

K-means

ORB

Scale-invariant feature transform (SIFT)

AVI Challenges ScienceSoft Solves

Object variability

For complex objects, significant variations exist in the appearance of both normal and defective items.

Check out the solution

The solution:

The decision-making part of the AVI system is based on machine learning methods. In order to learn how to distinguish between normal and defective objects, it needs a large dataset of possible variations in their appearance. Having enough data to train the machine learning algorithm, we can ensure its ability to make accurate decisions.

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Very small and non-distinctive details

Recognizing features and objects may be difficult if they have a very small size (such as PCA components) or melt into the background (a grey caption on a grey background).

Check out the solution

The solution:

Depending on the task, our specialists will implement advanced image preprocessing, segmentation and feature extraction techniques to machine vision software to enhance the image and extract valuable information.

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Illumination variability

Changes in the illumination affect the resulting images creating new lines and disguising existing ones.

Check out the solution

The solution:

  1. Ensuring uniform lighting conditions
  2. Implementing advanced machine learning algorithms.

If uniform illumination is not available, it is possible to mitigate the effects of bad illumination using more sophisticated preprocessing and edge detection algorithms.

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Build AVI Solutions with ScienceSoft

AVI consulting services

  • AVI solution design.
  • Business case creation.
  • AVI software architecture (re)design.
  • Outline of optimal implementation options.
  • AVI software features roadmapping.
  • Project planning.
  • PoC and prototyping (if required).

Go for AVI consulting

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Source: https://www.scnsoft.com/services/image-analysis/automated-visual-inspection

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