BOULDER, CO – JUNE 25TH, 2019 — Imatest, a global image quality testing solution provider, partnered with Furonteer, an automation equipment manufacturer, in early 2019 to provide production machines for geometric calibration of single and multicamera devices. (more…)
Imatest attended the P2020 meeting on May 13 and 14, 2019 in Ann Arbor, Michigan. Paul Romancyzk, PhD., Senior Imaging Scientist, and Rob Sumner, Lead Engineer, represented Imatest. Paul co-led the discussion on Color Separation within the Image Quality for Machine Vision subgroup.
Imatest will attend AutoSens in Detroit on May 14-16, 2019. is a 3-day workshop, conference, and exhibition advancing the education for and development of vehicle perception technology. It brings together over a thousand minds in vehicle perception, ADAS, and autonomous vehicles twice a year—in Detroit, Michigan USA in May, and Brussels, Belgium in September. Each event includes conference sessions, discussions, collaborations, debates, networking, business meetings, interactive learning, autonomous driving demonstrations, and technology exhibition showcasing.
Imatest sent two engineers to the IEEE P2020 Automotive Imaging Quality face-to-face meeting in Dusseldorf, Germany this past February in 2019. The IEEE P2020 standard, which is still in development, aims to define KPIs and test procedures to address the many challenges relevant (and often unique) to automotive imaging.
The group hopes to publish the standard in the year 2020 (no relation to the standard’s identifying number) as a unifying guideline for developers of autonomous driving systems. Most driver-assist and autonomous-driving systems rely heavily on cameras despite the significant press other imaging modalities, such as LIDAR, have received. As Level 3, 4, and 5 autonomous vehicles start to come on the road in 2020 and beyond, it is vital that these systems have an agreed-upon set of rigorous performance metrics. (more…)
imatest partnered with shenzhen polytechnic university to support the digital image quality testing curriculum at the university. with the expansion of their image quality program, imatest sponsored and authorized the development of a state of the art research and education lab.
The lab and ceremony
on october 31st, 2018, henry koren, director of engineering, and ian longton, imaging science engineer joined shenzhen polytechnic executive vice presidents of communication engineering, dean he yuhua and yang yunyan, vice president zhang xuilang, and colorspace general manager nick liu and colleagues for the official unveiling ceremony.
Learn more about the development of standards for automotive camera systems.
The IEEE-SA P2020 is a working group for automotive imaging standards. Their goal is to define a set of standards to resolve the current ambiguity in the measurement of image quality in automotive imaging systems. Generally, today’s image evaluation approaches do not adequately address the unique needs of either the human or computer-vision based automotive applications; therefore IEEE-SA P2020 is working with people in the field, understanding the gaps in current standards, and creating a coherent set of key performance indicators by which automotive camera systems might consistently be evaluated. (more…)
By Robert Sumner
With contributions from Ranga Burada, Henry Koren, Brienna Rogers and Norman Koren
Consistency is a fundamental aspect of successful image quality testing. Each component in your system may contribute to variation in test results. For tasks such as pass/fail testing, the primary goal is to identify the variation due to the component and ignore the variation due to noise. Being able to accurately replicate test results with variability limited to 1-5% will give you a more accurate description of how your product will perform.
Since Imatest makes measurements directly from the image pixels, any source that adds noise to the image can affect measurements. A primary source of noise in images is electronic sensor noise. Photon shot noise also contributes significantly in low-light situations. Other systemic sources of measurement variability, such as autofocus hysteresis, will not be addressed in this post.
Here are 5 tips to limit noise in your test results: (more…)
we now offer a complete, customizable image quality testing solution for security camera systems to provide our customers with an easy, effective way to outfit their labs. while working with some of the top security camera manufacturers, our engineers have compiled all of the necessary lab materials in a convenient package. the package includes options for software; reflective, transmissive, tunable, and ultra-wide light sources; test fixtures for a variety of fields-of-view and focus distances; and applicable test charts to analyze crucial image quality factors.
九州天下的网址our engineers are continually adding new features and updating imatest software to provide you with the best analysis tool on the market. in our most recent release, our team has added several new modules to provide you better analysis tools. here are the top three new features, and why should upgrade to imatest 5.1:
Imatest is pleased to unveil updated documentation for Imatest IT. The documentation has been updated to include the latest software release (Imatest 4.5), including details for new features, filtering options for preferred languages, and several new Troubleshooting articles.
Users can now filter Imatest IT instructions for their preferred languages and interfaces including C, C++, Python, .NET (C# and Visual Basic), and EXE. In addition, there are now more detailed installation and setup instructions for both Windows and Linux versions.
Imatest IT ships with several example projects in C++, Python, C#, and Visual Basic. You can find them in the samples folder of your IT installation, along with example images of Imatest test charts that can be used for each of IT’s analysis modules.
Automating Lab and Manufacturing Processes – [Webinar]
Autofocus plays a major role in many camera system applications with variable focus, including consumer electronic devices. Camera systems must be able to focus at a variety of distances. Optical systems on cameras only allow a certain range of distances from the camera to be in focus at once (this is often known as the depth of field, or depth of focus). The distance from the camera where objects will be most in focus, effectively the center of this range, is the focus distance—the role of the autofocus system in a camera is to set this point accurately every time.
Over the last few years, the automotive industry has taken great strides to incorporate camera systems into vehicles. From ADAS to rear-view cameras, there are many applications for camera systems in vehicles.
With this integration of camera systems in the automotive industry, companies now have a variety of image quality factors to verify and standards to adhere to.
Imatest is a leader in image quality testing solutions for the automotive industry. Join us for this free webinar to learn more about image quality testing in the automotive industry.
During this webinar, you can expect to learn:
- An introduction to image quality factors and industry standards
- What image quality factors matter most to the automotive industry
- An overview of tests to deploy for automotive camera systems
- How to begin testing your camera systems
九州天下的网址for many engineers tasked with designing camera systems for a product, image quality testing is a complicated endeavour given the variety of test charts and measurements available.
九州天下的网址understanding which image quality factors to measure in your product and how to interpret results will ensure your product is equipped with quality imaging systems.
Join us on October 12, 2016 for a free webinar, Fundamentals of Image Quality Testing, presented by Imatest’s Director of Engineering, Henry Koren.
Imatest 4.5 is the most powerful version of the platform yet with enhancements and additions for a variety of industries, including automotive, medical, consumer electronics, security, and more. The newest features give users increased flexibility in the range of target distances and light levels to improve your high-speed, automated testing.
九州天下的网址to learn more, please visit fsblqkh.cn/4.5.
Imatest is pleased to announce their partnership with Sofica, a group of camera algorithm validation and test automation experts based in Finland. This partnership will bring mobile device customers a revolutionary, robot-aided R&D test automation system integrated with Imatest analysis software and test charts.
What is CPIQ?
IEEE-SA working group P1858 created the CPIQ standard. CPIQ seeks to standardize image quality test metrics and methodologies across the mobile device industry, correlate objective test results with human perception, and combine this data into a meaningful consumer rating system.
九州天下的网址cpiq serves as a way to assess and communicate image quality to the vast majority of consumers who are unsure how to judge and compare device image quality.
Imatest is pleased to announce the release of version 4.4九州天下的网址, which includes the following features:
Support for all 2016 Camera Phone Image Quality (CPIQ) standard metrics for mobile device image quality. CPIQ serves as a way to assess and communicate image quality to the vast majority of consumers who are unsure how to judge and compare device image quality. See a full CPIQ overview.
Now available for download
九州天下的网址main features include:
- Support for all CPIQ metrics for 2016 international standards for mobile device image quality.
- Autofocus, Auto White Balance, and Auto Exposure metrics for faster image adjustments.
- Additional controls for Image Sensor (IS) device management.
- Floating Licenses adds flexibility for shared work environments.
- Image processing module to assess the effect of standard image processing algorithms on image quality.