SICK has enabled out-of-the-box artificial intelligence machine vision inspections for common inline inspection tasks in demanding high-speed production — introducing the Inspector83x 2D vision sensor.
The teach-in capability of the SICK Inspector83x can be used by non-specialists to configure powerful, high-precision AI inspections at full production speeds. By showing the camera around five examples, initial inspection results can be up and running in minutes. Any product design or batch changes can be added in the same way by an operator from the production line.
With 5 MP resolution and powerful built-in illumination, the device is an all-in-one performer. With its powerful quad-core CPU and high-speed data transfer, it processes AI inspections directly on the device. Its fast response, with no need for an external machine control, is expected to be particularly useful in demanding FMCG production applications. Typically, up to 15 inspections per second can be accomplished with tasks such as defect and anomaly detection or classification.
Using a standard PC connected via the camera’s USB-C port or network interface, users can follow the intuitive interface to present examples to the camera in actual production conditions, then train and execute the inspection. This can eliminate conventional machine vision complexity whenever changes to product designs or packaging are needed, rather than having to call on a machine vision specialist.
Once set up, the image inference is carried out directly on the SICK Inspector83x and results are output to the machine control as pass/fail results or sensor values. The device has seven inputs and five outputs.
Although the SICK Inspector83x operates well as a standalone device, a broad range of accessories is available where required for the installation.
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