XIMEA: Thunderbolt™ 2 Enabled Industrial Camera Model with Sony IMX174 Sensor is Officially Certified
Another XIMEA model from Thunderbolt 2 enabled camera line is approved and enters mass production with ability to order
And takes a further step towards growing its European machine vision platform
• New IK-HD5UM HD video camera meets IEC 60601-1 Medical Design Standards, 3rd edition, requirements for medical and surgical imaging
Topics such as infrared, laser, terahertz, multi- and hyperspectral imaging, fiber-optic sensors, and wireless sensing help to drive innovation in sectors as wide-ranging as process monitoring, surveillance, oil and gas exploration, agriculture and crop optimization, pharmaceuticals, healthcare, homeland defense, terrorism countermeasures, robotics, and the Internet of Things. SPIE Defense and Commercial Sensing will bring the global community together on these topics in April in Baltimore.
New program will plumb the fundamental limits of light detection to enable revolutionary new concepts, models and imaging devices
CES 2016: Orbbec will showcase the Astra 3D sensor and worlds first 3D camera-computer, the Orbbec Persee
In this paper, we introduce the TOF technology and the theory of operation. We also compare TOF sensors with 2D machine vision and other 3D vision technologies and highlight TOF sensors differentiating advantages.
From University of California, Irvine: VATIC is a free, online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets and can be deployed on a cloud. After three years of research, vatic is now used by labs around the world to annotate the next generation of data sets. Features Crowdsource video annotation to Mechanical Turk Automatic quality assurance for good annotations Complex payment schedules and bonuses One-click worker compensation Optimized interface for video annotation Offline mode for expert annotator use (no MTurk) ( site ) ( github )
Using vision instead of proximity sensors makes it possible for each fixture to handle a wider range of parts.
XIMEA accelerates speed record and distance with releasing of new camera model based on PCI Express technology
Although the system was developed primarily for the inspection of orthopedic parts it can equally be used for the automated inspection of any critical parts, for example aeronautical.
Bot-maker Savioke announces an open-source wrapper for Intel's RealSense Camera, adding another low-cost 3D sensing solution to the roboticist's toolkit. The wrapper will allow developers to make use of the RealSense Camera, which enables robots to sense rich three-dimensional environments. "Intel RealSense Cameras bring great low-cost depth sensing to robotics, in a platform that is widely available and easy to integrate using ROS," says Steve Cousins, CEO of Savioke. Until recently, bot makers looking to incorporate 3D sensing on the cheap have relied on a sensor made by Israeli company PrimeSense. But in late 2013 PrimeSense was acquired by Apple for $350M, an indication of just how much potential the Cupertino-based giant sees in 3D sensing technology. Since the acquisition, robot developers have been eager for a flexible and cheap depth sensor. Intel, meanwhile, is making an aggressive move into the world of robotics, and the company was thrilled to offer ROS support for RealSense.
Strongest Adoption of Computer Vision Technology seen in Consumer Electronics, Robotics and Machine Vision Applications
The commercialization of computer vision technology over the past few years has generated market opportunities in a variety of sectors.
Integro Technologies, a world leader in vision system integration, received official patent notification from the United States Patent and Trademark Office for the Tire Guardian Series.
Machine vision uses cameras, computers and software algorithms for carrying out inspection tasks that require precise and repetitive verification and testing in high speed. Accomplishing such tasks with human vision is extremely difficult, if not impossible, because while human eyes are capable of making precise measures in details, they aren't equipped to do so in a rapid and repetitive manner; human vision, by comparison, is error-prone and could deteriorate irreversibly when made to perform such visually intensive tasks.
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