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  • Industries
    • Sports Tech
      • Sport Performance Analytics
      • AI for Fan Engagement
      • Esports
    • Manufacturing
      • Quality Control
      • Predictive Maintenance
      • Anomaly Detection
    • IT Software
      • Cloud & Digital Transformation
      • Security
      • Business Process Automation
    • Clean Tech
    • AI For Start-Ups
  • About Us
    • Who We Are
    • How We Work
    • Locations
      • Dublin
      • Milano
      • London
  • Resources
    • Blog
    • AI Tools
    • The State of AI in Irish software companies
  • Business of AI Podcast

Quality Control

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Quality is Everyone's Responsibility

  • Objectives
  • Current Problems
  • AI Intervention
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Objectives

The key to success in manufacturing across fields revolves around the meeting of the three main objectives. Failure to do so, results in decreased efficiency.

Objectives:

  1. Enhance Product Quality & Reduce Risks
  2. Gain Production Efficiencies
  3. Garner Customer Loyalty

 

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Current Problems

Poor quality control results in significant operational and financial costs. From, reduced yield, increased work in process inventory, warranty claims, and repairs.

Samples of Problems:

  1. Manual inspection is subject to operator perception and experience, which impacts consistency.
  2. Traditional inspection machinery needs to be programmed, is not flexible, and cannot adapt to product changes.
  3. Existing machine vision-based inspection can only detect a handful of defects at a time.
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AI Intervention

The manufacturing industry is no stranger to innovation. From mass production, to lean manufacturing, six sigma and, more recently, to enterprise resource planning.

Samples of AI Interventions:

  1. Reduced cognitive load for operators.
  2. No programming required: adapts to product changes.
  3. Detect hundreds of areas of interests on a product in seconds.
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Explore AI

Artificial neural networks mimicing the human brain
By sparkdadmin

| Published December 14, 2022
Foundations of AI
What is an Artificial Neural Network?

Artificial neural networks are a type of machine learning algorithm, inspired by the way our brains work. The first ANN…

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Post Views: 43
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Knowledge Transfer system
By sparkdadmin

| Published November 4, 2022
AI Strategy
How to transfer knowledge in a Machine Learning project

Machine learning has become an indispensable tool across multiple industries. Unfortunately, many companies still lack the expertise needed to find,…

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Post Views: 40
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Copyright in AI
By sparkdadmin

| Published October 24, 2022
AI Strategy
How to identify key intellectual property in Machine Learning projects 

Artificial intelligence and data have a symbiotic relationship. Both data and AI need each other to survive and thrive. AI…

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Post Views: 206
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By sparkdadmin

| Published October 21, 2022
Clean Tech & Agritech
The benefits and the challenges to the implementation of AI in Smart Cities

According to Microsoft, smart cities are urban areas that use digital technologies to enrich residents’ lives. From improving infrastructure to modernising…

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Post Views: 32
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eSports
By sparkdadmin

| Published October 20, 2022
Sports Tech
How to maximise your esports marketing campaigns with machine learning

Once a niche hobby reserved for basement-dwelling teenagers, eSports is now a global revenue heavyweight. The global eSports market is…

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Post Views: 34
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Ferox project
By sparkdadmin

| Published October 12, 2022
Clean Tech & Agritech
FEROX: AI, Data, and drones to increase the safety of wild berry pickers

Finland is an idyllic wonderland, characterised by its untamed forestry, wild berries, and vast lakes. These natural resources have a…

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Post Views: 65
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