The MVS-OCR2 character recognition vision sensor can be used to inspect expiration dates printed on pouches with red, gold, or silver gloss.
The superior character extraction performance of the MVS-OCR2 enables recognition without having to change settings even for targets with different background colors.
With the addition of a flat dome lighting made by CCS Inc., the light source can be applied more evenly, ensuring stable inspection even for uneven or glossy workpieces.

With the MVS-PM-R color pattern matching vision sensor, the contamination matching mode allows for inspection of the lid orientation of cup-type ice cream containers.
By setting the reverse side as OK and the label side as NG, the MVS-PM-R is able to inspect for package illustrations on the surface for accurate detection of the lid orientation. The contamination matching mode also checks for patterns rather than just differences in color.
This means inspection can be performed without the need to reconfigure camera settings even if the product type changes.

The OCR Vision Sensor, MVS-OCR2, checks an encoded date and time in a string, in addition to an expiration date.
A string for quality control including date and time can be recognized by automatic update using the calendar function.
Change of date or time to be recognized from production schedule requires no change in camera settings.

MVS-PM-R of the pattern matching camera checks the presence of the back side label, and inspects the expiration date on the label with the OCR camera MVS-OCR2.
The controller MVS-DN-E can connect up to three cameras.
Since only one controller is required, it is possible to construct an inspection system with low cost.

The CVSE1 easy color area sensor can be used for verifying the presence of lids on transparent containers such as for pudding.
Although detection of a transparent lid is generally difficult, installing the CVSE1 parallel to the lid and ensuring specular reflection makes detection possible by using the reflection of the built-in light source.
This ensures stable detection on production lines.

The MVS-PM-R pattern matching vision sensor makes it possible to check whether chocolates have been placed correctly.
The color-tone inspection function enables detection even if packaging contrast is low, as with photo prints. Moreover, the ability to set up to 16 inspection windows means detection results can be provided for each individual inspection window.

The MVS-OCR2 character recognition camera enables inspection of printed expiration dates, and the MVS-PM-R pattern matching camera enables inspections of contents and packaging errors.
Connecting these two cameras using the MVS-DN-E controller makes it possible to configure an AND circuit within the controller. This allows for inspections of poorly printed text and packaging errors without the need to organize sequences using a PLC.

Checking shelf life printed on the packages in small packaging machine by character recognition feature of the OCR vision sensor MVS-OCR2.
By attaching the 90 ° side view mirror to the tip of the lens, it is possible to install to a narrow space between the packaging films.
It realizes to install on a machine that could not install the camera due to space problem.

OCR vision sensor MVS-OCR2 can check existence of stealth invisible printing on packages.
The stealth ink used for those invisible printings that can be visible when exposed to ultraviolet lighting OPDB series. The combination with MVS-OCR2 and ultraviolet lighting OPDB series makes it possible checking existence of stealth invisible printing which is not required for consumers.

Detecting existence of the label on the cap by easy all in one vision sensor CVSE1-RA.
Its color resolution is 15,000 colors and depth of focus is long so setup is very simple and easy and detects colors correctly even if the conveyer bounces.

Detecting deviation of the cap by color pattern matching camera MVS-PM-R.
When the cap is deviated, the camera will capture the aluminum seal and detect deviation of the cap. "Differential" function of MVS-PM-R will be able to detect the seal even if contrast between the cap and the seal is low.

Print inspection on glossy surface like aluminum vapor deposition film by character recognition camera MVS-OCR2.
Even if printed characters on glossy material, MVS-OCR2 will be able to detect characters stably.

Detecting if sealing is done correctly or not by color pattern matching camera MVS-PM-R.
"Differential" function of MVS-PM-R will be able to detect sealed or not sealed on top part of the package by checking grooves by sealing even if the contrast is low.

Checking shelf life and wrongly made box by print inspection camera MVS-OCR2 and pattern matching camera MVS-PM-R.
Up to 3 cameras can be connected and controlled by one controller that reduces total cost of investment and make system configuration simple.

Inspection of shelf life on multiple packages at one time by print inspection camera MVS-OCR2.
MVS-OCR2 can inspect up to 4 inspection window at one time. Narrow the iris of the lens so that the depth of focus get longer. Then, it can get clear image of multiple packages in FOV even if the distance of the object is different.

By counting function of MVS-OCR2 (Character recognition vision sensor), existence of Kanji character can be detected.
By separating printed part into two part, one is Kanji part and another is numeric part, assigning inspection window for each part then set counting character number function for Kanji part and character recognition function for numeric part. Two part of the printing can be inspected at one time in this way.

Character recognition vision sensor MVS-OCR2 has 8 times bigger resolution than conventional model so it can recognize printing by laser marking even if the line is very narrow.

Color pattern matching camera MVS-PM-R can have up to 16 inspection window so each individual packaging can be checked if it's correct one or not.

By using "Stain area" function of MVS-PM-R, it can detect small labels even if its color is changed.

MVS-OCR2 can recognize characters printed on colored pattern by recognizing color of the characters stably.

Because of high resolution of MVS-OCR2 camera, 8 times better than conventional model, it can have wide FOV so it can recognize characters printed on individual packaging at deviated position on the conveyer.

Print inspection of production date and shelf life printed on the carton box at a time is possible because MVS-OCR2 can set wide FOV (Field Of View) thanks to its mega pixel image sensor.
You don't have to invest for two cameras so it's cost effective.

Checking if two different colored stick is aligned at correct position or not by MVS-PM-R. MVS-PM-R can have up to 16 inspection window so setup inspection window at the part you would like to check the color then it can check multiple parts of the image at a one time.

CVS1 series can detect specific color area and its setup is very easy and simple.

Character recognition cameras can be used to check expiration dates printed on cartons using PC coders.
Judgments based on the number of characters (Character Count function) are effective when printing is uneven.

Checking position of cap on the container before fixing stage by detecting color of cap part of the container.

Checking the shape and color of spout part in the cap and position of it by "contour" and "color area" function of MVS-PM-R.

Checking side and direction by checking position of printed mark on the box. MVS-PM-R can detect shape and color so it can check if the mark is correct or not.

Checking characters printed on the gums or candies by CVS4-R.
It has calendar and timer built-in so it can check date code over night continuously.

Shape of "Tempura" can be checked by MVS-PM-R utilizing its function "color shape" or "contour".

Print inspection of shelf life by MVS-OCR2 and checking existence of antioxidant in the package by MVS-PM-R.
The controller MVS-DN can control up to 3 cameras so you don't have to have multiple controller in this case.
Either wrong printing nor missing antioxidant will be rejected by single output from the controller.

Print inspection on the shelf life printed on top and print inspection on the label attached on the side of the can at one time by two MVS-OCR2.
The controller MVS-DN can control up to 3 cameras so you don't have to have multiple controller in this case.
Wrong printing on the shelf life or on the label at side of the can will be rejected by single output from the controller.

Print inspection on the shelf life on 3 production lines can be done by 3 MVS-OCR2.
The controller MVS-DN can control up to 3 cameras so you don't have to have multiple controller and reduce cost in this case.

Checking existence of source package on chilled pizza utilizing "color area" function of MVS-PM-R.
The color of the source package might change depends on the temperature though, "dark compensation" function will stabilize detecting color of the package and help stable detection of the source package.

Checking existence of perforation by MVS-PM-R.
Utilizing backlight to make perforation visible by leakage of the light through the perforation, the color pattern matching camera MVS-PM-R will be able to detect perforation.

Detecting fin on the mini-bottle for soy source by MVS-PM-R.
"contour" function of MVS-PM-R will be able to detect small fin on the mini-bottle for soy source and prevents outflow of wrong bottle to next process.

MVS-PM-R can have up to 16 inspection windows so it can assign inspection window for each label. It can output result of each inspection window so you will be able to know which label is missing.

Checking if the package is sitting on the conveyer correctly or not by MVS-PM-R.
Using "color area" function, it can detect correct side of the package. It can prevent outflow of upside down package to next process.

Character recognition vision sensor CVS4-R has "Character Re-scan" function so it can skip Kanji characters that to be skipped when checking date code only.

Character recognition of printing on the boil-in-the-bag food package which is not always flat.
CVS4-R has original recognition algorism that enables recognition of characters on the surface which is not even.