Vision & Sensors

RSS

Quality organizations are at the forefront of adopting AI in electronics manufacturing, addressing well-defined challenges that impact business efficiency. While traditional quality control methods like functional tests and visual inspection are common, AI's integration is revolutionizing these processes with advancements in machine vision and enhanced analytical capabilities.

Manufacturing automation is on the rise, offering quality control workers a career advantage. Stefan Friedrich of New Scale Robotics notes that as manufacturers embrace automation, it becomes more user-friendly, aiding new workers in using robots and software effectively.

Automate 2024 is seeing record registrations, indicating a surge in automation growth in North America. Anticipated sales recovery in the latter half of 2024 spans industries like healthcare, construction, agriculture, and pharmaceuticals, driven by the recognition of automation's benefits in handling challenging tasks.

Traditional machine vision used rule-based programming for controlled environments but struggled in less controlled settings. Edge learning AI, operating directly on vision systems, enhances machine vision's power and usability, revolutionizing quality assurance and manufacturing processes.

Theia's lenses help capture clear images of car crash testing. The MY23F lens is rugged and can survive impact at 50mph, while providing undistorted images.

Microscope objectives focus light and form images. There are two types: finite and infinite conjugate. Designers consider magnification, numerical aperture (NA), and cost. NA is important but not the only factor in performance.

Deep learning, a subset of machine learning, aims to mimic the learning process of the human brain. Learn how it improves through repetition and requires larger data sets and longer processing times to achieve reliable accuracy and sophistication.

RDMA is an alternative to UDP for high-bandwidth, multi-camera applications, providing an efficient data transfer mechanism that bypasses the CPU and operating system. By storing image data directly onto the host PC's memory, RDMA is ideal for managing large volumes of data in modern high-bandwidth Ethernet camera applications.

One of many driving factors behind this automation growth is that the convergence of multiple technologies — including AI, robotics, and machine vision — has enabled the industry to democratize automation by making it easier to deploy and operate.