OpenCV Vision Challenge
From the OpenCV Foundation:
OpenCV Foundation with support from DARPA and Intel Corporation are launching a community-wide challenge to update and extend the OpenCV library with state-of-art algorithms. An award pool of $50,000 is provided to reward submitters of the best performing algorithms in the following 11 CV application areas: (1) image segmentation, (2) image registration, (3) human pose estimation, (4) SLAM, (5) multi-view stereo matching, (6) object recognition, (7) face recognition, (8) gesture recognition, (9) action recognition, (10) text recognition, (11) tracking.
Conditions:
The OpenCV Vision Challenge Committee will judge up to five best entries.
You may submit a new algorithm developed by yourself or your implementation of an existing algorithm even if you are not the author of the algorithm.
You may enter any number of categories.
If your entry wins the contest you will be awarded $1K.
To win an additional $7.5 to $9K, you must contribute the source code as an OpenCV pull request under a BSD license.
You acknowledge that your contributed code may be included, with your copyright, in OpenCV.
You may explicitly enter code for any work you have submitted to CVPR 2015 or its workshops. We will not unveil it until after CVPR.
Timeline:
Submission Period: Now – May 8th 2015
Winners Announcement: June 8th 2015 at CVPR 2015
(full details)
The POSITAL Advantage - Over 130,000 Varieties of Sensors!
Until now, users of position and motion sensors have had to choose between low-cost standardized products and more expensive custom-built items. For cost-sensitive applications, sensor builders have adopted mass production techniques, building large runs of identical products. The rotation sensors used in automotive ABS and stability control systems are good examples of high-volume, mass produced items. For more demanding customers - such as machine builders creating complex industrial automation and motion control systems - sensor manufacturers have often relied on a more craft-based approach, with expert machinists building custom-designed products in in small batch quantities. These specialized items are more expensive than their mass-produced counterparts and usually take far longer to be delivered. However, for the specialist machine builder, getting instruments that meet their exact requirements can often be more cost-effective than adapting a not-quite-right unit. POSITAL has broken down the "inexpensive but inflexible" vs. "customized but costly" divide by developing a new mass-customized approach to sensor design and fabrication.
More versions, more power - New DCX motors and GPX gearboxes from maxon
Now even stronger, more efficient and with yet more combination options: There are new additions to the maxon family of X drive products. Several long versions of brushed DC motors, with higher torques and more power, are being added to the product range, together with matching planetary gearheads. Each of the 3-stage versions can now be combined with the next smaller motor. This saves space, weight and costs.
New Parker Electric Thrust Tubular (ETT) Linear Motor Increases Performance
Rod-style actuator comes in cost-effective, energy-efficient, low-maintenance package
Altera to Exhibit Comprehensive Solution Portfolio for Accelerating Intelligent Automation at SPS IPC Drives 2014
Demos Include Secure Cloud-Enabled PLC for IoT and Industry 4.0, Precision Robotics, Motor Control and IEC 61508 Functional Safety
KUKA Robotics Corporation debuts the KORE of STEM Education at ACTE's CareerTech VISION 2014
KUKA Robotics to debut KORE; KUKA Official Robotics Education program in booth #808 November 20th- 21st, 2014
Robotic Assembly
Manual assembly procedures, which previously have been neither ergonomic nor appropriate for automation, can currently be automated in a cost-effective way.
Mitsubishi Electric Automation announces Secomea as newest member of its e-F@ctory Alliance Program
Secomea provides remote access solutions for the automation and machine industry.
Altera to Exhibit Comprehensive Solution Portfolio for Accelerating Intelligent Automation at SPS IPC Drives 2014
Demos Include Secure Cloud-Enabled PLC for IoT and Industry 4.0, Precision Robotics, Motor Control and IEC 61508 Functional Safety
Diversified Machine Systems Partner, Fagor Automation, Rolls out CNC Automation Advancements
Fagor Automation, strategic partner of Diversified Machine Systems, the original equipment manufacturer of DMS CNC Routers, announces CNC technology advancements such as the new 8060 CNC System and Exposed Linear Encoders.
Trending Shelf-Ready Packaging Relies on Mosca S-ATRS to Get to Market
Shelf-Ready Packaging, (synonymous with Retail-Ready) is trending for many retailers, including discount clubs. Merchandise in Shelf-Ready Packaging (SRP) is easier to ship, display and sell. But, the small production runs of wildly diversified products have to get to manufacturers first. Mosca's Model S-ATRS for bundling cartons has proved to be a reliable and cost effective design with surprising throughput potential.
LeddarTech Attracts Significant Investor Interest, Successfully Completing $7 Million Financing
LeddarTech has successfully completed a $7 million equity financing to accelerate commercialization efforts for its innovative detection and ranging sensor modules and to support the ramp-up of operations.
New Version of PLC Technician II Program from George Brown College
New computer-based curriculum gives students a "hands on" learning experience in a wide range of manufacturing and service environments
Festo Introduces Its All-in-One DC Servo Motor/Drive Unit - The MTR-ECI
This solution is ideal for on-machine mounting and fast, precise format adjustment.
Deep Visual-Semantic Alignments for Generating Image Descriptions
Because of the Nov. 14th submission deadline for this years IEEE Conference on Computer Vision and Pattern Recognition (CVPR) several big image-recognition papers are coming out this week:
From Andrej Karpathy and Li Fei-Fei of Stanford:
We present a model that generates free-form natural language descriptions of image regions. Our model leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between text and visual data. Our approach is based on a novel combination of Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that aligns the two modalities through a multimodal embedding. We then describe a Recurrent Neural Network architecture that uses the inferred alignments to learn to generate novel descriptions of image regions. We demonstrate the effectiveness of our alignment model with ranking experiments on Flickr8K, Flickr30K and COCO datasets, where we substantially improve on the state of the art. We then show that the sentences created by our generative model outperform retrieval baselines on the three aforementioned datasets and a new dataset of region-level annotations... ( website with examples ) ( full paper )
From Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan at Google:
Show and Tell: A Neural Image Caption Generator ( announcement post ) ( full paper )
From Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel at University of Toronto:
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models ( full paper )
From Junhua Mao, Wei Xu, Yi Yang, Jiang Wang and Alan L. Yuille at Baidu Research/UCLA:
Explain Images with Multimodal Recurrent Neural Networks ( full paper )
From Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell at UT Austin, UMass Lowell and UC Berkeley:
Long-term Recurrent Convolutional Networks for
Visual Recognition and Description ( full paper )
All these came from this Hacker News discussion .
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Factory Automation - Featured Product
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