- Description
Description
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Vision cameras + IOT sensors monitor products on the conveyor.
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Data is sent to the cloud → AI analyzes for defects.
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System automatically rejects products that do not meet quality standards.
Project 1 : Smart Conveyor Inspection System with Vision Cameras and IoT Sensors.
This project uses vision cameras and IoT sensors to monitor and inspect products on a conveyor in real time. High-resolution cameras detect defects, misalignment, and labeling errors, while IoT sensors collect data on product presence, position, and speed.
All inspection data is displayed through an HMI and web-based dashboard, with non-conforming products automatically identified and logged. This system improves product quality, reduces manual inspection, and enhances production efficiency for smart manufacturing and Industry 4.0 applications.
🔧 Concept
Smart Vision Quality Control uses industrial cameras, sensors, and AI algorithms to inspect products in real time. It detects defects, misalignments, or packaging errors instantly, ensuring consistent quality and reducing waste.
This is where AI-powered cameras and vision systems ensure product quality automatically, without relying solely on human inspection.
⚙️ Core Components
– Industrial Cameras & Sensors
– High-resolution cameras capture product images on the production line.
– Sensors detect dimensions, color, and surface finish.
– AI & Machine Learning Algorithms
– Image recognition identifies defects (scratches, cracks, mislabels).
– Deep learning improves accuracy over time.
– PLC & IoT Integration
– Vision system connected to PLC for immediate reject signals.
– Data transmitted via Modbus TCP/MQTT to cloud dashboards.
– Dashboard & Analytics
– Real-time defect rate monitoring.
– Trend analysis for root cause detection.
– Reports for continuous improvement.
Project 2: VisionIC™ – Smart Quality Inspection for IC Components
🔧 Project Concept
VisionIC™ is a smart vision system that uses industrial cameras and AI algorithms to inspect IC components during production. It ensures every chip meets dimensional, alignment, and surface quality standards — automatically and in real time.
⚙️ Project Scope
– Inspection Target:
– IC components on PCB boards or trays.
– Check for cracks, misalignment, missing pins, solder defects, and surface contamination.
– Hardware Setup:
– High-resolution industrial camera mounted above conveyor or pick-and-place station.
– LED lighting for consistent image capture.
– PLC triggers image capture and reject mechanism.
– Software & AI:
– Vision software with trained AI model for defect classification.
– Real-time decision: PASS / FAIL.
– Integration with MES or SCADA for traceability.
– Data & Dashboard:
– Defect rate per batch, line, or model.
– Root cause analysis (e.g., soldering, handling, material).
– Trend charts for continuous improvement.
Why Choose Our 4.0 Technology?
✅ 100% research, design & developed by Malaysia, over 85% of components sourced locally in Malaysia.
✅ Working closely with Malaysian developers like, Sirim Berhad and Koon Seng Sdn Bhd of companies on delivered all the IR4.0 related projects in Malaysia which involving full system integration of IoT, automation, robotic, PLC, ERP and RFID
✅ Together, we are shaping brighter & better industry future for our nation.
Why Choose PSE Machinery?
- ✅ Local design & manufacturing in Melaka
- ✅ Delivery & service support across Malaysia
- ✅ Customizable to bottle sizes
📞 Get a Free Quote
Need a auto machine in Malaysia? Contact PSE Machinery today!
- 📞 Phone: 016-667 7148 / 012-607 9928
- 📍 Showroom: Melaka, Malaysia
