CoaXPress 2.0 (CXP 2.0) and 10GigE Vision (10 GigE) are the two most popular interfaces for machine vision and discrete sensors; CXP 2.0 has advantages in flexibility, speed, bandwidth and cable length.
An ultra-compact angle sensor built from flat optics captures these measurements at 30 frames per second, which will allow for more accurate and precise measurements of tiny atomic materials.
Manufacturers can benefit from AI machine vision technologies by increasing uptime, leverage preventive maintenance 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.
A smart material-sensing platform for laser cutters that can differentiate between 30 materials commonly found in makerspaces and workshops has been developed by MIT researchers. See video demonstration.
A new record for the temperature at which materials have superconductivity and has developed a novel way to synthesize superconducting materials at lower pressures than previously reported. See video.
The Ohio State University researchers developed a design for absorbing vibrations that could help create better soundproof walls, make vehicles more streamlined and help in other engineering aspects.
The AZM40 is a safety rated solenoid interlock with an integrated radio frequency identification (RFID) based electronic safety sensor.
The need for automation and accompanying technologies such as machine vision and robotics will grow as manufacturing changes in the wake of COVID-19.
Engineers at MIT and Harvard have designed a prototype face mask that can diagnose the person wearing the mask with COVID-19 within about 90 minutes and can be used to detect other pathogens and chemicals.