Image recognition and instruction steps are linked. You can import work instructions and display them on the screen to automatically check work procedures, such as whether screws have been tightened in the right order. If the work does not go according to the instructions, the system prevents the worker from proceeding, helping eliminate mistakes and improve quality. The system supports accurate acquisition of work procedures in a short period of time.
Capturing correct work results as a master image in advance enables batch inspections once the job is done. You can set up to 20 points to check, then perform a batch inspection using high-resolution digital images by comparing them to the master image.
Not only can you perform real-time inspections and batch inspections once a job is done, but there is no need for programming knowledge or inspection logic configuration. Even operators without image processing knowledge can perform image inspections using intuitive controls.
With pattern matching, you can check for parts and part shapes. Checking product numbers, similar parts with minor differences in shape, and for missing parts prevents errors.
Part colors can be detected with color recognition to differentiate similar parts of different colors. This feature helps prevent parts oriented incorrectly and incorrect mounting.
In addition to shapes and colors, the system can also determine textures. Differentiate between smooth or uneven surface textures during checks even when parts are the same color or shape. High-resolution digital images make it possible to detect minor differences in textures, a difficult task when performed visually.
This camera is equipped with a 1/1.8 inch, 8 megapixel CMOS color sensor. It enables high-precision inspections using digital images (4K/QFHD) with 9 times higher resolution than conventional models. It also uses an interchangeable C mount lens, so you can select from 5 high-resolution, RICOH FA lens (machine vision lens) focal lengths that offer minimal distortion to the edge of the image to match the size of your workpiece.
The camera body contains the image processor and software, so setup is easy with a mouse, keyboard, and monitor and no need for a computer*1. Pattern matching settings*2 are also easy—simply select the area in the image on the screen. Settings and workflow data can be exported and imported to streamline the configuration process for multiple cameras.
*1 If you have a touch panel monitor, you don't need a mouse or keyboard.
*2 Settings can also be configured according to the shape of the object such as an ellipse or polygon.
* Firmware update to Ver.4.0.0.0 or higher is required. Update here.
A total of 9 screw hole types and 6 screw head shapes have been learned.
In addition, a large number of data such as the color of the screw head, the color of the mounting surface, and the presence or absence of light reflection have also been learned.
Color of screw head | Black / Silver / Copper | |
---|---|---|
Color of mounting surface | Base substrate | GND board / Black / White / Brown |
Mounting surface color assuming sheet metal or box | White / Black / Brown / Red |
* Firmware update to Ver.4.0.0.0 or higher is required. Update here.
Use the HDMI, USB (Type-A/C), general-purpose I/O port, LAN port, wireless LAN* or Bluetooth®* to connect to external devices. You can streamline the inspection process if you connect a touch panel monitor, wireless mouse, PLC, controller, LED indicator lamp, buzzer, sensors, foot switch, electric screwdriver, etc.
* Wireless LAN and Bluetooth are supported only on the models with a wireless communication system.
If you add the option function (for an additional charge), the camera body can recognize barcode and QR code information (1D or 2D codes). Also, text information that was previously checked visually can be read with OCR, making it possible to save product names and serial numbers in the work log. User ID input during login can be handled by the camera body using image input. This can be used for switching the job ID and reference ID for streamlined tasks.
Record the work date/time, work time, serial number, work results images, etc., to an SD card or shared folder on a network in CSV or jpeg format. OK/FAIL images and camera operations are saved as a log which can be viewed in a dedicated log viewer. Logs can be used for analyzing works that need improvement and for traceability*.
* Keeping records of each process across the supply chain for tracking purposes. Traceability makes it possible to identify problem areas at an early stage when defective products are discovered.