Floating and missed screws go unnoticed
Floating and missed screws are hard to spot immediately, driving up rework cost while leaving no traceable quality evidence
Relying on the eye and hand, quality and cycle time fluctuate most in this high-frequency step
Floating and missed screws are hard to spot immediately, driving up rework cost while leaving no traceable quality evidence
Manual changeover adjustment is tedious and cannot match the fast switching that flexible mixed production requires, capping line output
Long shifts cause fatigue, raising missed and misaligned screws and undermining stable operation on high-cycle lines
and solve fastening in one step
Industrial cameras and lighting form the acquisition module, locating holes and recognizing screw orientation to provide real-time coordinates
Industrial robots carry the driver head and fasten to vision coordinates, supporting parallel, series and collaborative deployment
Screw feeding and sorting mechanisms form an automatic supply chain, delivering screws to the head continuously, stably and to spec
A dedicated controller coordinates vision, robot and feeding cycles while running fastening-quality algorithms in real time
From vision positioning to quality decision, four interlocking steps form a self-adapting, traceable fastening loop
Cameras recognize hole position and screw orientation and output precise coordinates
The robot moves the driver head to the coordinates and aligns with the target point
Fastens at multiple angles and positions — vertical, horizontal — with stable, non-stop feeding
Algorithms judge the result in real time, identifying floating and missed screws and logging process data
Adapts to different fastening positions, orientations and models, covering the varied scenarios of appliance manufacturing
Back panel, top and other whole-unit positions, covering multi-face work needs
Vertical and horizontal fastening to suit different stations and product orientations
Widely used on appliance manufacturing lines
Mixed-model lines, high-cycle lines, and repetitive fastening stations where long manual shifts cause fatigue and errors
Precision, flexibility and data capability converge in one standardized station, reused flexibly across categories and lines
Vision adapts to different models without repeated changeover tuning, letting one line handle many variants and minimizing changeover cost
Vision guidance with AI recognition fastens reliably on complex shapes, markedly raising the pass rate
The vision system records the whole process so quality data can be traced and analyzed
As a standardized fastening station it deploys flexibly across appliance categories and line layouts