Smart vision sensor SMore VN4000

for presence detectionfor defect detectioncompact

Product overview
Integrated with deep-learning algorithms, the SMore VN4000 is an advanced industrial vision sensor that performs various visual inspections using only a few training samples without parameter deployment or manual adjustment. It supports a flexible working distance to fit different installation spaces and provides enhanced computing power for complex binary-classification tasks.

Key features

• Binary classification: Detects presence/absence, counting, orientation (up/down) and other error‑proofing scenarios using deep-learning models.
• Low-shot learning: Advanced pre-training model reduces required training samples while maintaining inspection performance.
• Flexible installation: Wide working-distance tolerance enables integration into varied mounting configurations.
• Multiple communication interfaces: Supports TCP Server, TCP Client, ModBus TCP, MELSEC SLMP, RS-232 and EtherNet/IP for data transfer and PLC integration.

Technical specifications

• Product type: Advanced industrial vision sensor
• Algorithms: Integrated deep-learning algorithms; advanced pre-training model for low-shot learning
• Inspection capabilities: Presence/absence, counting, orientation (up/down), error-proofing, binary classification
• Training requirement: Few training samples (low-shot)
• Working distance: Flexible working distance to accommodate different installation spaces
• Computing power: Enhanced computing power to support more complicated applications
• Communication interfaces: TCP Server, TCP Client, ModBus TCP, MELSEC SLMP, RS-232, EtherNet/IP

Typical applications

• In-line presence/absence and counting checks
• Orientation verification (up/down)
• Error-proofing on assembly lines
• High-mix, low-volume inspection scenarios requiring rapid model setup