Machine Vision & Deep Learning Integrator
"Enabling clients to produce a quality product & gather data with
Industrial Machine Vision & Deep Learning technology"
Portfolio
International mail brought in through airline processing centers are often in large sacks with a 4”x6” card attached to it. Depending on the country of origin, some of these cards are hand written and others are printed. The individual at the processing window needs to manually enter in all of the information on the mail tag into a data entry system before it can be thrown onto a conveyor belt to be processed. This creates a bottle neck in the work flow, since only so many transfer windows can be manned and managed to allow baggage/cargo trucks to be unloaded.
SOLUTION
A portable prototype imager with a flat surface allowed the mail handlers to position the mail tag for image acquistion. At the start of a new load the mail handler would enter in the Airline and Flight number, along with the number of pieces. The mail handler would take an image of that tag and then the local Vision PC would attempt to read all of the text on the tag, then present the image along with data to the mail handler. Once approved, the data would be saved to a database. If tag was not readable, the image was sent to a remote location where it was presented to a person for manual entry. This allowed for reconcilation of a load and moving mail bags as quickly as the manual imaging process would allow.
TAGS
Identification, OCR, Pattern Matching, Government, Data Collection, PC-based Vision
Supplier for the machines that manufacture the Permanent Residency Cards needed to ensure that the text printed on the card matches what is contained in the database. It was also to ensure the person’s face was printed clearly, and verify the presence of several security features.
SOLUTION
Standard lighting techniques and Optical Character Recognition routines where used to validate the text and data that was contained in the database. Image correlation was used to validate the person’s face printed on the cards. Multiple different lighting techniques and LED wavelengths were used with different image processing alghrothims to verify the presence of all security features.
TAGS
Identification, Inspection, OCR, Pattern Matching, Government, PC-based Vision
Supplier for the machines that manufacture the Driver’s Licenses needed to ensure the text printed on the card matched what is contained in the database. Also needed to ensure the person’s face was printed clearly, and verify presence of the engraved birth date on the card.
SOLUTION
Standard lighting techniques and Optical Character Recognition routines where used to validate the text and data that was contained in the database. Image correlation was used to validate the person’s face printed on the cards. Photometric stereo imaging technique with IR LED lights was used to extract the engraving and filter out the print on the driver’s license.
TAGS
Identification, Inspection, OCR, Pattern Matching, Government, PC-based Vision
Machine Vision & Deep Learning Integrator