Sewing simple items of clothing is one of those repetitive, labor-intensive tasks that seems like it would have been automated ages ago. But getting a robot to do it right is tricky. Fabric stretches, especially the comfy, flexible knits used for t-shirts. A human can easily adjust on the spot, guiding the fabric as it moves around to make sure seams stay straight, but robots aren’t always great at that sort of improvisation. (Putting shoelaces on sneakers is similarly challenging.)
In 2015, after years of research, SoftWear Automation introduced LOWRY, a sewing robot, or sewbot, that uses machine vision to spot and adjust to distortions in the fabric. Though initially only able to make simple products, such as bath mats, the technology is now advanced enough to make whole t-shirts and much of a pair of jeans. According to the company, it also does it far faster than a human sewing line.
SoftWear Automation’s big selling point is that one of its robotic sewing lines can replace a conventional line of 10 workers and produce about 1,142 t-shirts in an eight-hour period, compared to just 669 for the human sewing line. Another way to look at it is that the robot, working under the guidance of a single human handler, can make as many shirts per hour as about 17 humans.
Eink, E-paper, Think Ink – Collin shares six segments pondering the unusual low-power display technology that somehow still seems a bit sci-fi – http://adafruit.com/thinkink
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Python for Microcontrollers — Python on Microcontrollers Newsletter: Python on the new Raspberry Pi Pico board and RP2040 chip! #Python #Adafruit #CircuitPython @micropython @ThePSF
