News

Vision China Shanghai 2019: Our showcases!

Event Highlights 22 March, 2019

JM Vistec System is proud to announce that we are ready for the Vision China Shanghai 2019 show event taking place in Shanghai New International Exhibition Centre. Come visit us at Hall W5, International Pavilion, Booth C, Booth no. 5625!

An insight to our demo showcases:

  • Multi-point depth of field focus with enhanced AI object recognition. Featuring Focatek camera, Schneider lens, Smart Vision Lights and our in-house Autofocus | Hyperfocus software.

  • High resolution Flat Panel Display (FPD) inspection highlighting the extreme capabilities of ISVI‘s 50MP camera! With uniform illumination from Smart Vision Lights attached to a mount from Swivellink.
  • Latest 3D image processing module by ISVI highlighting the high-end precision capabilities their 25MP camera, producing detailed contouring and textures of a coin!
  • 3D image processing technology from Sofkore. Using fringe projection, mapping out surface contours of a mini capsule. Image captured with Schneider lens!

High speed linescan application featuring Vislight and Schneider lens! Enabling the separation of the image captured into Red, Green or Blue format for different imaging results.


For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

Vision China Shanghai 2019 show: We are ready! Visit us @ W5.5625

Event Highlights 20 March, 2019

JM Vistec System is proud to announce that we are ready for the Vision China Shanghai 2019 show event taking place in Shanghai New International Exhibition Centre. Come visit us at Hall W5, International Pavilion, Booth C, Booth no. 5625!

Some of our showcases include :

  • High resolution inspection,
  • 3D pointcloud image processing,
  • 3D Fringe image processing,
  • High speed linescan application
  • AI multi-point focus recognition.

Some our display showcase!


For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

JM Vistec System granted Singapore 500 Enterprise Award!

Event Highlights 8 March, 2019

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Singapore 500 Enterprise Award – Recognizing Singapore’s Top 500 Established Businesses

In its fifth year since its introduction to recognize and honor leading companies in Singapore, the Singapore 500 Enterprise Award has been a leading benchmark, sustainability and brand recognition towards local and global companies.
Since 2015, the award has been empowering enterprises with credible recognition and additional resources to expand their business reach and market position to achieve continuous business growth across the region.

JM Vistec System is proud to be granted with Singapore 500 Enterprise award during 26th February 2019.

Following are some of the photos of the award ceremony.

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(Right) Mr Goh Yiu Jin, Eugene (Managing Director of JM Vistec System)

For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

 

Visit us @ booth no: 5625 of the Vision China Show Shanghai! 20-22 March. Read more

Event Highlights 1 March, 2019

Vision Show China 2019 signature banner

JM Vistec System is proud to announce that we will be exhibiting in this year’s upcoming Vision China Show 2019 held in Shanghai taking place in Shanghai New International Exhibition Centre during 20th to 22th March.

The focus of the event will be on Vision & Photonics. The Vision China Show is organized annually by the Chinese CMVU (CSIG Machine Vision Unit) and is one of the leading machine vision and imaging components and solutions fairs in China. Vision China Shanghai 2019 is part of LASER World of PHOTONICS CHINA, Asia’s leading trade fair for photonics, which set a new record in 2018 with a total of 55,872 visitors, 51,750 m² of exhibition space and 977 exhibitors from 25 countries. More information about Laser World of Photonics can be found in the link below:

https://www.world-of-photonics-china.com/

Our booth will be showcasing 5 demos!

Consisting of our Linescan demo, High resolution detection demo, Auto focus technology integrated with AI capabilities demo, and last but not least, 2 of our 3D image processing demos.

Information regarding our participation

  • Date: 20th – 22nd March 2019
  • Time: 9am – 5pm
  • Address: Century Park, Pudong, China, 201203
  • Venue: Shanghai New International Exhibition Centre, Hall W5, International Pavilion, Booth C, Booth no. 5625
  • Applications: 2D, 3D & AI

Do pay us a visit and we will find your solution!


For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

The Imaging Source Cameras Guide CTA’s Prototype Telescope

Event Highlights,Technology News 20 February, 2019

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Artist rendering of CTA’s Large-Size Telescope Array. Image: Akihiro Ikeshita, Mero-TSK, International

On October 10, 2018, the first prototype Large-Size Telescope (LST-1) of the Cherenkov Telescope Array(CTA) project was officially inaugurated at the northern array site situated at the Observatorio Roque de los Muchachos (Canary Islands). Two months later on December 19, 2018, the prototype telescope delivered its first images. This next-generation telescope serves as the working prototype for planned arrays in the northern and southern hemispheres. Over 100 telescopes will eventually be built for the arrays which together will comprise the CTA Observatory (CTAO). The University of Tokyo, a consortium member and major contributor to the CTA project, worked with The Imaging Source to supply cameras for the telescope’s Active Mirror Control (AMC) system.

The large number of telescopes planned for the arrays will deliver unprecedented sensitivity (10 times that of current systems) and accuracy in the detection and imaging of high-energy gamma rays. Using a design based on current-generation gamma-ray detectors called Imaging Air Cherenkov Telescopes(IACT), the LST-1 has a 23 m reflector covered by 198 hexagonal mirror segments. In order to maintain optimal accuracy, each of the 198 mirrors must maintain a precise angle in relation to the main camera and its 265 photomultiplier tubes which sits 28 m above the reflector.

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Fig. 2, LST-1 construction phase: hexagonal mirror segment with cutaway corner (bottom-most corner) for the CMOS guidance camera. Image: T. Inada (ICRR, U-Tokyo)

 

Accurate Mirror Angles via Machine Vision

Project requirements specify that rapid telescope repositioning toward a desired target area be accomplished in under 20 seconds. Additionally, weather conditions and the reflector’s own weight (approx. 50 tons) cause deformations in the dish and the camera support structure which affect the alignment between the 198 mirrors and the telescope’s main camera. These factors make an efficient and reliable system for mirror adjustment (i.e. focus) critical. When the telescope was first designed, several methods were considered including a laser-scan system and gyroscope system. In the end, none of these methods proved feasible due to price and performance concerns.

Scientists from the University of Tokyo were tasked with delivering a viable, cost-effective solution. They turned to machine vision and selected The Imaging Source’s GigE monochrome cameras for the project. The GigE cameras feature global shutter sensors with 1.2 MP resolution. The CMOS cameras’ compact and robust form meant they could be easily positioned in an IP67 case for additional protection from the elements. Once encased, the CMOS cameras were then mounted in a cutaway corner of each mirror (fig. 2 and below right). The reference point of each mirror is defined by the Optical Axis Reference Laser (OARL), whose wavelength is in the near infrared region. The CMOS camera in each mirror measures the position of the OARL’s light spot on the main camera’s target in order to identify the current mirror direction with respect to the optical axis.

Each camera is connected with a board computer via the GigE interface. When the telescope is moved to a new target, the mirrors are adjusted based on look-up tables which store the correct position of each mirror. Because look-up tables are pre-defined, however, they do not take structural changes due to weather and the telescope’s own weight into consideration. On the basis of the OARL position captured by the CMOS camera, a position is calculated and sent back to the actuators on the back of each mirror so that each mirror can be adjusted to the required angle.

CTA project 3


For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

The Imaging Source Drives TUfast: Students Win Driverless Challenge

Event Highlights,Technology News 20 February, 2019

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llustration showing sensor coverage for the muc018: Various sensing techniques including camera-based data provide the 360-degree coverage necessary for autonomous driving.

For over 15 years, TUfast, a student initiative at the Technical University of Munich, has been taking part in “Formula SAE” competitions. In 2010, a spin-off team for high-efficiency vehicles and sustainable mobility was introduced: TUfast Eco Team. After winning three first prizes with the debut of their first UrbanConcept car (muc017) in 2017, the team wanted to take on a new challenge: autonomous driving. The Imaging Source sponsored DFK 33GX265e cameras and accessories to help the team get to the finish line.

 

Autonomous Driving has its Challenges

The Shell Eco-marathon hosts three distinct races: Shell Eco-marathon, Drivers’ World Championship, Autonomous UrbanConcept Competition. TUfast’s goal was to participate not only in the newest event (Autonomous UrbanConcept) but also in the traditional efficiency races with a driver. Limited to one car, the team had to develop a vehicle concept that would allow them to use all the equipment necessary to compete in the autonomous driving challenges while keeping the vehicle’s overall weight low. To fulfill these requirements, TUfast created an innovative vehicle concept using a modular design. In so doing, the equipment necessary for autonomous driving could be completely and efficiently removed to reduce weight for the efficiency races.

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Stereo cameras make the rounds: Student making preliminary tests using camera-based data in the muc018.

The team took part in several autonomous driving tasks at the Shell Eco-marathon including the “Parking Challenge” where the team relied solely on vision-based recognition of the parking blocks. The software maneuvered the vehicle into the optimal parking position using the camera-based data with an ultrasound system navigating the last few centimeters. The TUfast Eco Team was the only team to successfully complete the task. Overall, TUfast earned a very respectable second place for the Autonomous UrbanConcept competition, trailing the first-place recipient by only a few points.

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A security driver is required for all autonomous driving challenges. White gloves enable judges to easily see if the driver makes contact with the steering wheel.

After the Event is Before the Event

On the heels of the Shell Eco-marathon in London, the students are currently planning next year’s competitive season. The students will further use the stereo camera system to explore new, more advanced topics such as depth estimation and stereo SLAM (visual odometry via simultaneous localization and mapping) for the 2019 racing season.


For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

Vision Show 2018 recap: Highspeed Line Scan cameras from EVT to speed up your quality control

Event Highlights,Technology News 29 November, 2018

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New 10GigE  & 25GigE Line Scan Cameras 

Take your line scan imaging experience to the next level with our new 8K CMOS PACE and ACCEL line scan camera series.

10GigE Pace
10GigE Pace Line Scan
25GigE Accel
25GigE Accel Line Scan

 

 


 

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JM- Vistec Logo PNGJM Vistec System is the official distributor for Emergent Vision Technologies for South-East Asia, Taiwan & China


For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

Highlights: Industry 4.0 week 2018, PSDC Penang

Event Highlights 19 November, 2018

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In this year’s Industry 4.0 week event held in PSDC Penang, we were given the honour and pleasure to meet and be visited at our booth by the Chief Minister of Penang, YAB Tuan Chow Kon Yeow.

Introducing our latest AI deep learning technology, SuaKIT, and how it contributes in the growth of Industrial 4.0 worldwide.

 

What’s more?

We were also given the privilege to conduct a workshop based on our AI Deep Learning technology and how it applies to product inspection applications to enhance your business manufacturing quality control.

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For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.

Messe Vision Stuttgart 2018: SUALAB’s A.I Deep learning software!

Event Highlights,Technology News 9 November, 2018

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SUALAB believes that artificial intelligence can contribute to the world by automating tasks that have required human effort.

With SuaKIT deep-learning, machine vision AI imaging is significantly faster and effortless. Now everyone can utilize deep learning for image processing.

Here are some of the images from SUALAB’s booth from the VISION show!

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Demo showcase SuaKIT’s AI deep learning software
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For more information, kindly send in your enquiries to info@jm-vistec.com or call +65 6748 5517.