Published On Apr 2, 2024
Traditionally, manual workstations have relied heavily on costly control hardware such as PLCs, #DetectionSensors, and tool position fixtures and encoders to ensure the operator performs each assembly step correctly. ๐๐๐ ๐ถ๐ ๐๐ต๐ฒ๐ฟ๐ฒ ๐ฎ ๐บ๐ผ๐ฟ๐ฒ ๐ฎ๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ, ๐ฐ๐ผ๐๐-๐ฒ๐ณ๐ณ๐ฒ๐ฐ๐๐ถ๐๐ฒ ๐ฎ๐น๐๐ฒ๐ฟ๐ป๐ฎ๐๐ถ๐๐ฒ?
๐ฅ In our latest video, we unveil how a Computer Vision system can ๐ฒ๐ณ๐ณ๐ฒ๐ฐ๐๐ถ๐๐ฒ๐น๐ ๐ฟ๐ฒ๐ฝ๐น๐ฎ๐ฐ๐ฒ ๐๐ต๐ฒ ๐ฐ๐ผ๐ป๐๐ฒ๐ป๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฎ๐๐๐ฒ๐บ๐ฏ๐น๐ ๐๐๐ฎ๐๐ถ๐ผ๐ป ๐ต๐ฎ๐ฟ๐ฑ๐๐ฎ๐ฟ๐ฒ. Featuring 4 webcams and controlled by NVIDIA hardware, this arrangement utilizes #EdgeAI, leading us towards a future where manual assembly stations are ๐๐น๐ฒ๐ฒ๐ธ๐ฒ๐ฟ and ๐ป๐ผ๐ ๐๐ถ๐ฒ๐ฑ ๐ฑ๐ผ๐๐ป ๐ฏ๐ ๐ฒ๐
๐ฝ๐ฒ๐ป๐๐ถ๐๐ฒ ๐ฐ๐ผ๐บ๐ฝ๐ผ๐ป๐ฒ๐ป๐๐.
๐ This revolutionary station ๐ป๐ผ๐ ๐ผ๐ป๐น๐ ๐๐น๐ฎ๐๐ต๐ฒ๐ ๐๐ต๐ฒ ๐ฐ๐ผ๐๐ ๐ฏ๐ ๐ฑ๐ฌ%, but also ๐ต๐ฎ๐น๐๐ฒ๐ ๐๐ต๐ฒ ๐ฐ๐ผ๐บ๐บ๐ถ๐๐๐ถ๐ผ๐ป๐ถ๐ป๐ด ๐๐ถ๐บ๐ฒ! Itโs a transformation poised to bring substantial advancements in the manual assembly domain.
Additionally the station can easily be adapted to ๐ฎ๐๐๐ฒ๐บ๐ฏ๐น๐ฒ ๐ฎ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐๐ฒ๐น๐ ๐ฑ๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐ as it is not constrained by fixed hardware. For example the same station can be adapted with hours to assemble a battery pack.
Meet the ๐ข๐๐๐ก ๐ฃ๐ต๐ฎ๐ป๐๐ผ๐บ โ a ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ฑ๐ด๐ฒ ๐๐ ๐๐๐๐๐ฒ๐บ, seamlessly combined with an #MES and operator guidance system - ๐ข๐๐๐ก ๐ช๐ผ๐ฟ๐ธ๐๐๐ฎ๐๐ถ๐ผ๐ป. This collaboration builds a robust framework that guides the operator meticulously through each step, ensuring each product is constructed correctly the first time.
๐ฌ Iโm eager to hear your thoughts! Do you see Computer Vision as the new cornerstone for manual assembly stations?
#Innovation #Technology #futuretech
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