Flexxbotics now compatible with SICK machine vision technologies.
Flexxbotics has recently expanded its compatibility range to include solutions from Renishaw, Cognex, and Hexagon, this trajectory has continued and now includes machine vision technologies by SICK. Quality inspection connectivity processes by Flexxbotics are now compatible with SICK’s full range of 2D and 3D vision sensors and vision cameras, with closed-loop quality and Six Sigma consistency achievable.
With the addition of the FlexxCORE technology, robots can now securely connect and communicate with SICK solutions. Said robots will receive direct feedback based on automated inspection results which will allow for adjustments to be made in real-time to CNC machine programs. Autonomous in-line inspection is also possible, with defect reduction expected.
SICK solutions now compatible with Flexxbotics:
- AI-powered Inspector83x vision system.
- InspectorP61x, InspectorP62x, InspectorP63x, InspectorP64x, and InspectorP65x.
- Visionary-T Mini, and Visionary-S.
- Ruler3000.
- Ranger3.
- picoCam2.
- TriSpector1000.
“We understand that the robots need to work with the latest next-gen inspection technologies and CNC machines, as well as, older equipment that manufacturers already have in their factories,” said Tyler Modelski, CTO & Co-founder of Flexxbotics. “That’s why our compatibility extends to over 1000 different makes & models of inspection equipment and other factory machinery.”
The Flexxbotics solution can run both offline and online so the production process can continue with or without an internet connection. Flexxbotics is also already compatible with the following business systems, CAD/CAM, DNC, SCADA/HMI, IIoT, MES, ERP, and PLM.
“We believe that the inspection equipment serves as the ‘eyes and ears’ for the robots in the smart factory running production in ‘lights out’ manufacturing,” said Tyler Bouchard, CEO & Co-founder of Flexxbotics. “By integrating inspection vision system capabilities to robots with Flexxbotics, global companies are able to achieve continuous operations through robot-driven manufacturing with autonomous process control.”