The client operates in the daily chemical and personal care sector (specifically shampoos and body washes). They have recently installed a new high-speed automated production line. The bottles involved are depicted in the accompanying image (with the brand logo intentionally obscured). Prior to the filling and labeling stages, it is essential to ensure that all bottles are uniformly oriented; this alignment is a prerequisite for the subsequent labeling machine to function correctly.
PAIN POINT ANALYSIS
Prior to the filling and labeling stages, bottles are discharged from the bottle unscrambler with random and inconsistent orientations. Relying on manual alignment or simple mechanical guides is insufficient to meet the demands of high-speed production lines and carries a high risk of scratching the bottle surfaces. If bottle orientation remains inconsistent, the labeling machine may apply labels to the sides or incorrect positions, resulting in the rejection of a large volume of defective products and leading to significant waste of consumables and materials.
Solution: Intelligent Industrial Vision Flip Inspection System
To address this client's requirements, we deployed a vision inspection system that integrates high-frame-rate industrial cameras with a servo-driven flipping mechanism.
WORKFLOW PRINCIPLES
Real-time Image Capture: Employs a high-resolution industrial camera to instantly trigger image capture as bottles pass through the inspection station at high speed.
Feature Recognition Algorithm: By identifying specific bottle features—such as the cap shape, side ridges, logo placement areas, or mold lines—the vision algorithm determines within milliseconds whether the current bottle is facing its "front" or "back" side.
Intelligent Signal Processing: Algorithms calculate the offset and transmit the correction signal in real-time to the downstream PLC control system.
Precision Flipping Execution: When the vision system identifies a bottle as being in the "inverted" orientation, the backend flipping mechanism (a servo-driven gripper-rotation assembly)
With a precise movement, the bottle is rotated 180°; bottles determined to be in the "correct orientation" pass through directly.
CORE STRENGTHS
High Compatibility
The algorithm supports deep learning models, enabling rapid adaptation to wash and care bottles of various shapes and colors; line changeovers require only a few minutes.
Non-Contact Inspection
Visual inspection does not come into contact with the product, thereby eliminating the risk of scratching transparent or high-gloss bottle surfaces.
Millisecond-level Response
Adapts to high-speed production rhythms, ensuring 100% directional consistency even under high-output conditions.
IMPLEMENTATION RESULTS
Following the system's deployment, the client's production lines underwent the following transformative improvements:
Labeling Pass Rate: Increased from the original 82% to over 99.9%.
Labor Costs: No manual intervention is required prior to the labeling process, resulting in a reduction of 1–2 auxiliary personnel per production line.
Production Efficiency: Downtime caused by the need to clean up after misaligned labels has been completely eliminated, boosting overall production line efficiency by approximately 15%.
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