Process layout
Project Overview
DAVA (Detecting Application by Vision A.I), an AI-powered pass/fail inspection software developed by TNSAI, is a program that can be integrated into the Easy Checker series. It surpasses the limitations of traditional rule-based machine vision, allowing for flexible and easy changes to inspection targets. By utilizing image detection technology that leverages diffused reflection, it provides a solution for fast and accurate detection of even microscopic defect types.
Project Background & Objectives
Defect Classification: Utilizing AI to classify defect types and detect defective products.
Components
| Robot |
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Workflow
| STEP 1. | Defect Detection & Judgment: Controls the swing table and camera to detect product flaws and determine pass/fail status. |
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Features
Enhanced Safety & Productivity:
Replaces 3D (Dirty, Dangerous, Difficult) tasks with robots to prevent safety accidents.
Improves operational efficiency and accuracy.
Enables the establishment of flexible production lines.
Optimized Operation:
Performs optimal pick-and-place based on detected information.
Capable of loading/unloading irregular parts using suction or electromagnetic force.
Fast Learning & Operation:
Reduces learning and implementation time from 2 days to just 4 hours.
Fast learning through GUI-based programming.
Real-time remote control capability.
Superior Proprietary Technology:
Extensive on-site experience and expertise.
Real-time remote control and storage/management of expert work patterns.
Results
| Key Benefits | Fast and accurate object recognition with 3D positioning and volume measurement.
Easy and rapid robot teaching and implementation.
Efficient part tending and inspection system.
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| Client Feedback | "We are now able to perform uniform painting tasks tailored to various product shapes, which has significantly improved quality and operational efficiency. The easy installation and teaching process allow for flexible and rapid responses to changing work requirements."
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