Presence/Absence
As machine vision integrators, we provide a wide range of inspection solutions for applications including “presence or absence” verification. This inspection process is often used to capture product features and position details at critical points during the manufacturing and assembly process.

Measurement/Gauging
For product measurement and gauging applications, we provide vision solutions that capture critical product and part dimensions within micron-level tolerances, and at high speeds. Our measurement and gauging solutions incorporate the latest in real-time calibration, along with precision edge, and contour detection for exact part dimension analysis and matching.

Optical Character Recognition (OCR)
OCR is a vision-based identification process that converts text images into encoded text that is read by computers. OCR also converts text into strings of characters that are analyzed by computer algorithms to identify text characters that most closely match a target image or text code.

Optical Character Verification (OCV)
OCV determines the text quality and identifies potential text errors by comparing it against a target image. It measures the degree of similarity between an image and defined reference text characters.

Pattern Matching
Pattern matching extracts visual information from an image or a video stream in order to detect errors, count and measure objects, provide motion analysis, and compare an image’s unique pattern, color, shape, and size with target images.

Bar Code Reading
A barcode is a machine-readable image that is printed on a label and applied to a part or product (print-and-apply), or directly marked on a part, product or package (DPM). Barcodes contains encoded data about an item (unique identification or serialization), or encoded data about a batch or lot of items. Barcode scanners are typically used to capture and read bar code data in order to identify and track parts throughout manufacturing and assembly.

Pick & Place
Vision guided robots play an important role in today’s manufacturing and assembly processes. They locate parts to be picked up during production, and determine specific locations to place them. Without robots, product and part production requires precisely “fixtured” line set-ups to ensure items maintain correct position and orientation. Relying on fixtures can be expensive, and time consuming to change when product and part types, and configurations are changed.

Poka Yoke Inspection
Poka Yoke is a mistake proof inspection guidance process developed by Toyota that utilizes machine vision to improve production quality and efficiency while isolating product defects before they are passed along to the next step in a production operation.

Laser Profiling
Laser profiling captures the 3D surface of a part through triangulation. A laser beam projected onto the part and is deformed by the height variance of the part. Through calibration, the position of the laser beam relative in the camera's image corresponds to a Z-height. By stitching together multiple images and depth map of the whole part can be generated.

Multi-camera Stereo
Multi-camera stereo vision is used to capture 3-D image information based on multiple 2-D views of a part or product. Stereo vision is often used in robot navigation to estimate the distance (range) of a particular object from a camera. Image information is presented in a stereo disparity map created by matching corresponding image coordinates gathered from multiple cameras.

Photometric Stereo
Photometric stereo uses a number of images to reconstruct the object surface by turning on 1 light at a time. The camera and the object are fixed, while the scene is illuminated from a single different known orientations in each image. Knowing the position of the light sources and the reflectance properties of the object, the surface can be reconstructed.

Depth From Focus
Within a scene object points have different distances to the camera. The camera has a limited depth of field. Depending on the distance and the focus different object points are displayed sharply in the image. Taking images with various object distances each object point can be displayed sharply in at least one image. By determining in which image an object point is projected sharply the distance can be determined.

Time of Flight
The time-of-flight method is a hardware-based technology, which uses a camera also consisting of a light source. The sensor in the camera measures the time in between the point of when light is emitted by the camera and the point of time when light reflected at the object’s surface returns to the camera. Different distances correspond to different time gaps measured by the camera.