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OptoFidelity Blog

OptoFidelity


Recent Posts

4 min read

Summer with cool robots – stories by our Summer Trainees

By OptoFidelity on 9/17/19 9:00 AM

Each year we seek enthusiastic, bold and open-minded Trainees to join our troops. This summer was no different and we were excited to have overall six new OptoFidelitians. We promised that these Trainees will have a summer with cool robots, awesome colleagues and unique projects – how well did we succeed with this promise? Let’s find out from the authors themselves: Sini, Joonas, Olli-Pekka, Ismo and Juho!

Sini and Joonas, you worked as Software Trainees, what did you get to do here?

Sini: During the summer I got to do a lot of work directly related to my education and interests. This was the most important thing for me, since as someone mostly focused on users, UX and UI design back-end coding is not inspiring to me. I was surprised how much people here were eager to hear my opinions and how much those really affected the outcome of the projects.

I designed and made prototypes of a few user interfaces and got to develop one from start to finish. In the university I hadn’t learned a lot about UI programming and the experience from here is patching up important holes in my know-how.

What really made the summer enjoyable here was my project team. The average age of the team was probably somewhere in the mid to late twenties, which helped us connect and have fun too on the side of work. I look forward to continuing as a part-timer when I start my studies again!

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1 min read

OptoFidelity Reveals New Solution for Measuring Head Mounted Device Image Quality

By OptoFidelity on 3/22/19 9:00 AM

We at OptoFidelity are happy to introduce a new image quality testing solution for AR/VR head mounted devices – OptoFidelity™ GoldenEye HMD IQ!

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4 min read

HMD UX testing – Introducing absolute tracking of XR content

By OptoFidelity on 1/24/19 4:09 PM

Maturity of AR/VR/MR devices is improving significantly during 2019. In order to offer seamless UX for consumers, more comprehensive testing methods are needed. A novel content tracking method for AR/VR/MR testing purposes is introduced by OptoFidelity, the leading test solution provider for HMD UX testing.

In 2019, we can expect a wealth of exciting virtual and augmented reality devices arriving: for example, Oculus is going to release the standalone Quest headset, and Nreal raised $15M of funding to produce a sunglass-sized AR headset. In CES 2019, there were almost a hundred exhibitors in the AR/VR Gaming category.

Quick development of the new technology gives rise to the need to verify performance in product development as a part of continuous integration. This post focuses on measuring head tracking accuracy, which is comprised of many measurable elements: drifting, jitter, motion-to-photon latency, cross-axis coupling… you name it!

Kick-start for HMD UX testing was done in 2017, when OptoFidelity´s first offering BUDDY-1, previously known as VR Multimeter was launched. BUDDY-1 is a solution for benchmarking the motion-to-photon latency with one degree of freedom. Our BUDDY testers are equipped with a smart camera which captures and analyzes the frames displayed on the headset. BUDDY-1 tracks the optical flow of a target pattern placed in the virtual world and compares that to the physical rotation angle over time, yielding motion-to-photon time. BUDDY-1 is a good work horse for basic motion-to-photon latency measurement e.g. to catch some fatal performance regressions.

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4 min read

Novel HMD testing technology – Optical measurement of VR headset tracking performance

By OptoFidelity on 10/11/18 9:00 AM

OptoFidelity worked in co-operation with University of Jyväskylä, Department of Physics. Our co-operation was related to academic research in the area of HMD testing technology. Our interest was to find new optical measurement technologies and methods for VR headset tracking performance. As an end result, we developed a novel technology for testing HMD´s. If tracking performance of HMD is poor, it will effect drastically to end user experience. OptoFidelity has been working with user interface testing for years. As HMD´s are getting more and more popular, we believe better testing technology is needed as well.

One of the most popular topics in today’s smart device industry and research is the development of virtual and augmented reality (VR/AR) headsets. State-of-the-art, room-scale implementations utilize multiple cameras and sensors to find the position and orientation of the user’s head in the surrounding space. This is called six degrees-of-freedom (6DoF) tracking. Simultaneous Localization and Mapping (SLAM) algorithms, familiar from robotics, are also utilized to make the headset better adapt to its surroundings by recognizing walls and other obstacles. Qualcomm, for example, has implemented SLAM in its new mobile processor [1].

The quality and accuracy of the head tracking are key contributors to the virtual reality experience. Bad performance of the tracking may cause nausea or simply undermine the credibility and immersivity of the virtual reality experience. For the development of the devices and the content, an objective way of assessing the behavior of tracking is necessary. The high quality of the tracking may be quantified by observing e.g., the latency between the user’s motion and the respective update of the display content (motion-to-photon latency), jitter (random shaking of the content) or drifting.

There are several possible ways of testing the tracking performance. Given access to suitable APIs of a headset, one may record and investigate data from the headset’s tracking system, graphics stack or some other components. Another example is application-to-photon latency measurement, where the graphical content is changed. The respective change of the display is observed by an external sensor (such as a color sensor or a camera), and latency between the two events is measured.

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4 min read

Reverse logistics of smartphones – our experiences in refurbished smartphone testing

By OptoFidelity on 8/30/18 4:26 PM

Refurbished smartphone testing is not possible with traditional testing approach. Novel technology and thinking is needed in order to overcome the challenges. Especially you can see the problem, when you are trying to automate Android functional testing for refurbished phones.

There are 2.3B Android smartphones in use globally (*). And more and more smartphones are getting a second life as well. This means reselling the phone to another user when the primary user wants to get an upgrade. This reverse logistics business requires testing as well. If you want to sell it with a good price, the phone must work well.

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