Machine vision and automation advancements are improving logistics and warehousing operations by taking advantage of developments with autonomous mobile robots (AMRs), deep learning and more.
Vibration analysis allows early detection of wear, fatigue and failure in rotating machinery because vibration occurs in all rotational assets, but generally highlights an issue discovered by higher readings and particular frequencies.
An encoder part number reference website, www.autotechsmartencoder.net, deciphers more than 200,000 size-25 encoder combinations, gives descriptions and replacement options with next-day delivery for orders placed by 6 p.m. CST; 10 two-button-programmable encoders are said to cover all combinations.
Graphene-based biosensors are being used to develop better, cheaper, quicker, more accessible testing for the coronavirus that causes COVID-19.
Light detection and ranging (LIDAR) scanning offers critical benefits to clients and engineers and makes projects more efficient and minimizes conflicts.
A fiber-optic sensor that combines low-cost LEDs and dyes has been created by Cornell researchers, which results in a stretchable “skin” that detects deformations such as pressure, bending and strain.
Albert Kao, CEO and co-founder of the company, offered some background about his company, i-5O, and their work with digital twins powered by computer vision systems.
Adding multi-turn measurement capabilities to hollow-shaft encoders used to be challenging, but adding a Wiegand wire system makes it easier and expands usable applications, including robotics.
Purdue University researchers are developing technology to reduce diagnosis time of bovine respiratory disease (BRD) to around 30 minutes, which could help reduce the costs of the disease to the agricultural industry.
University of Michigan researchers are developing tiny wireless sensors for recycled N95 masks could verify, in real time, whether the respirators are being exposed to proper decontamination conditions