Articles Tagged with ''sensors''

The use of machine vision in industrial automation applications continues to increase as companies look for gains in productivity, efficiency and safety. Market forecasters estimate that the total market for machine vision will reach more than $18 billion by 2025, up from about $10 billion today. 

Many of today’s industrial software applications are designed to run natively on the Windows platform. Accessing and controlling external hardware devices with a Windows application is usually achieved by using a driver provided by the hardware supplier and activating hardware functions using an SDK.

Cars have become such an integral part of our lives. A car has long passed the point of being a necessary means of transportation, now becoming a symbol of independence and free-mobility, and sometimes even an expression of our personality.

By definition, the words simple and complex are antonyms. Complex is complicated, simple is not complicated—literally exact opposites. And as the old saying goes, opposites attract, and the list of subject matter in which simple and complex are joined at the hip is quite substantial.

With three new models incorporating the latest 2nd Generation Sony IMX sensors the camera manufacturer Allied Vision expands its robust high-resolution camera family Prosilica GT for demanding applications.

Lucid Vision Labs, Inc., announced the series production of its new 2K line scan Triton GigE Vision camera.

Sensors that report a factory’s performance by measuring machine functioning, downtime, and production goals are in high demand.

Whether an imaging system measures dimensions, verifies colors, or determines shape, the purpose of machine vision is to distinguish an object from its background. 

Sensors are an essential part of a metrology system, and there are several key factors that inform a buyer’s choice. These include ease of use, accuracy, speed and cost. Comparing the options can involve both analysis of features and actual demonstration of capabilities, but to get meaningful information for either you have to ask the right questions.

Simply put, product quality is always on the mind of a production manager. But what exactly characterizes a quality product? Is it when CMM inspection data reads good versus bad?