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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AR&VR companies predict breakthrough for Industrial XR in 2019 – Round table discussion by Finland XR Ecosystem
Industrial XR will be the breakthrough area, Finnish leaders say. A lot has happened in the AR&VR ecosystem in the last few months. Industry leaders from Finland’s AR&VR ecosystem had a virtual roundtable discussion, and the key comments were collected for this article. The Finland AR&VR ecosystem includes leading global companies such as www.varjo.com, www.dispelix.com, www.optofidelity.com, www.leonidasoy.com, www.futuremark.com, www.immersal.com, and much more. An additional AR technology highlight is, that Microsoft has Hololens development activities in Finland. Finland is a true global focal point in AR&VR development.
OptoFidelity CTO Kimmo Jokinen, Kari Peltola, the Chairman of VR Finland and CEO of Leonidas, CMO Jussi Mäkinen from Varjo, CEO Jufo Peltomaa from Immersal and industry pioneer Steven LaValle from the University of Oulu all share a common view, namely that industrial XR solutions will make a breakthrough during 2019.
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Experiences from the reverse logistics of smartphones – Second-hand smartphones are a safe buy, test system provider OptoFidelity verifies
Is it safe to buy a refurbished smartphone? This is one of the most common questions written to Google when a consumer is considering buying a used smartphone. “Are they any good?” “Will they function well?” “Can I trust that it works?” The answer is a resounding “Yes,” if you ask OptoFidelity. “Based on our experience from the reverse logistics of smartphones, the quality of second-hand phones for sale is excellent, especially if you buy them from established suppliers in the business,” Hans Kuosmanen, SVP from OptoFidelity, confirms.
OptoFidelity is a well-known automated testing solution provider for smartphone manufacturers, providing various smartphone test solutions for more than ten years. Likewise, OptoFidelity is as experienced in the reverse logistics of smartphones, partnering with leading companies in the business, such as FutureDial. OptoFidelity™ Fusion has already been in operational use in reverse logistics of smartphones for two years. The test solution automatically recognises over 100 different smartphone models from most of the globally known brands.
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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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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 .
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.