MACHINES VISION

Machine Vision is a system that uses sensors (cameras), hardware and software algorithmic processing to automate complex or mundane visual inspection tasks and precisely guide processing equipment in product assembly process. Applications include Locating, Identifying, Verifying, Measuring and detecting vulnerabilities.

1. What is Machine Vision?
Machine Vision is a system that uses sensors (cameras), hardware and software algorithmic processing to automate complex or mundane visual inspection tasks and precisely guide processing equipment in product assembly process. Applications include Locating, Identifying, Verifying, Measuring and detecting vulnerabilities.

A Machine Vision system will work tirelessly performing 100% online inspection, resulting in improved product quality, higher productivity and lower production costs, Consistent product appearance and quality creates customer satisfaction.

A Machine Vision system includes: Sensor (camera), processing engine (observation device) that displays and communicates results, and connecting cable system.

Machine Vision systems rely on digital sensors housed inside industrial cameras with specialized optics to acquire images, and hardware and software process, analyze, and measure various characteristics. to make a decision.

2. Applications of Machine Vision.
Machine Vision applications depend on different industries and production environments, typical applications include: Final product quality inspection, Engine part inspection, Product label inspection Product, Medical device error checking, Robot instructions, Datamatrix code verification, Component orientation check, Product traceability, Packaging inspection, Laser and cut mark inspection, Vial inspection medicine, Food package inspection, Barcode reading, Verification of design components.

Specifically, Machine Vision provides the following functions:

Predictive maintenance: is the process of using IoT machines and equipment to monitor data on machines and components, often using sensors to collect data points and identify signals or take corrective action. Restore before assets or components are damaged.

Check packaging errors in production: when products go through the production line, their images will be captured and transferred to the image data analysis center using software to see if the products are uniform. about quality and size, other indicators or not.

Barcode reading: in the process of needing to read circuit boards, several identical circuit boards are printed on a large board, each circuit is then separated for final inspection, then Machine Vision has been developed to read Barcodes- are unique identifiers of each circuit found on the PCN panel.