Place of Origin: | CHINA |
Model Number: | Smart Checkweigher Systems with AI-Driven Quality Control in Manufacturing |
Minimum Order Quantity: | 1 set |
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Price: | Negotiation |
Packaging Details: | Caron box |
Delivery Time: | 10-30days |
Supply Ability: | 2000 set per month |
Product: | Smart Checkweigher Systems With AI-Driven Quality Control In Manufacturing | Detection Capability: | Underweight/Overweight, Missing Components, Packaging Defects |
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False Rejection Rate: | <0.5% (self-optimizing Via Continuous Learning) | Humidity Tolerance: | 10% – 95% (non-condensing) |
Vibration Resistance: | <0.5 M/s² (AI Compensates For Minor Disturbances) | Communication Protocols: | Ethernet, Wi-Fi, RS-485, Bluetooth (for Mobile Config) |
Certifications: | FDA 21 CFR Part 11, EU Weights & Measures Directive (MID), GMP, ISO 9001/13485 | Training Data Requirements: | 500–5,000 Samples For Initial Model Calibration |
Adaptive Learning: | Auto-updates Weights/parameters Based On New Data | Predictive Maintenance: | Alerts For Belt Wear, Motor Faults, Or Calibration Drift |
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Attribute | Value |
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Detection Capability | Underweight/Overweight, missing components, packaging defects |
False Rejection Rate | <0.5% (self-optimizing via continuous learning) |
Rejection Mechanism | Pneumatic pusher, diverter arm, or drop gate |
Humidity Tolerance | 10% – 95% (non-condensing) |
Vibration Resistance | <0.5 m/s² (AI compensates for minor disturbances) |
Communication Protocols | Ethernet, Wi-Fi, RS-485, Bluetooth (for mobile config) |
Certifications | FDA 21 CFR Part 11, EU Weights & Measures Directive (MID), GMP, ISO 9001/13485 |
Training Data Requirements | 500–5,000 samples for initial model calibration |
Adaptive Learning | Auto-updates weights/parameters based on new data |
Predictive Maintenance | Alerts for belt wear, motor faults, or calibration drift |
Parameter | Specification |
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Weighing Range | 0.1g - 50kg (customizable based on application) |
Accuracy | ±0.1g to ±1g (depends on speed & product type) |
Maximum Throughput | 100 - 600 items/minute (adjustable for line speed) |
Minimum Product Length | 10mm - 500mm (configurable belt width) |
AI Model | Deep Learning (CNN/RNN) for anomaly detection |
Detection Capability | Underweight/Overweight, missing components, packaging defects |
False Rejection Rate | <0.5% (self-optimizing via continuous learning) |
Data Logging | CSV, SQL, Cloud (AWS IoT, Azure) |
Integration | REST API, OPC UA, MQTT, PLC (Siemens, Allen-Bradley) |
Power Supply | 110V/220V AC, 50/60Hz |
IP Rating | IP65 (dust/water-resistant) or IP69K (food/pharma-grade) |
Operating Temperature | 0°C to 45°C (optional cooling/heating for extremes) |
Belt Width | 100mm - 600mm (standard/custom) |
HMI (Human-Machine Interface) | 7"-15" touchscreen with real-time analytics dashboard |
Safety Features | Emergency stop, overload protection, guard rails |
Rejection Mechanism | Pneumatic pusher, diverter arm, or drop gate |
Conveyor Type | Stainless steel (304/316), modular belt or chain-driven |
Contact Person: Mrs. Shirley
Tel: +86-15851932889
Fax: 86-519-68781609