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Bestgige cameras

In general, pancake lenses provide a sharper view that remains so over a sweet spot that is certainly larger than what we are used to with Fresnel lenses. More precisely, they allow for a big eye-box. However, be careful, the sweet spot does not coincide with the lens size; moving towards the periphery, you experience a sudden degradation of the image. The transition from the central to the peripheral part is more abrupt, the image darkens, the colors change significantly tending to greenish, and the distortion increases quickly. I repeat, the sweet spot is considerably wider than Fresnel lenses. As long as you stay within the very large central sweet spot, the image is sharper, but towards the edges, the degradation is greater than with Fresnel lenses, at least in terms of distortion, chromatic aberration and opacity. On the other hand, the purpose of Fresnel lenses is precisely to control the distortion and aberration profile in the peripheral area through micro-ring grooves, a profile that will then be corrected during rendering. In this way, it is possible to widen the field of view, but obviously not without compromises, since the sweet spot of Fresnel lenses is smaller, the scattering is higher, and the sharpness blurs gradually towards the periphery.

The definition of the image (in terms of pixels per degree) looks similar, if not inferior, to that of the Quest 2. In theory, it should be slightly higher by 10%, but the pixels are more noticeable, especially when looking closely at text and menu icons or details of objects. This is the price to pay for the greater sharpness of pancake lenses (the technical term is folded lenses). The Fresnel lenses of the Quest 2, due to the scattering caused by the characteristic micro-ring grooves, provide a more “milky” and less sharp view, especially when moving away from the center, which tends to blur the granularity of the pixels. Pancake lenses have greater sharpness and clarity over a wider area and therefore highlight more the granularity of the pixels and the defects of a display resolution that remains the same as Quest 2.

GigEcamera interface

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GigEVisioncameras

Today I had the opportunity to test the Quest Pro and Pico 4 at the virtual reality laboratories of the LINKS foundation. I want to share my impressions with you after an hour of use and careful analysis and comparison.

One last observation on controller tracking. They are equipped with cameras and benefit from autonomous tracking, meaning they continue to be tracked even behind the back. In the Quest Pro home, there is a virtual mirror; I tested some extreme tracking situations. Behind the back, tracking works well most of the time, but sometimes it is lost, especially when the controller is stationary. As long as it is in motion, it is detected even behind the back, but if it is still for a moment, it may be lost. Of course, this is a positive factor, a real improvement over the limited tracking of the Quest 2 or other headsets like Pico 4 that rely only on the HMD cameras and IMUs and cannot track behind the back in any way. However, I lost controller tracking a couple of times when I brought them very close to the headset, for example, near the chin; again just when they were still. Autonomous tracking of controllers needs further refinement, but it is undoubtedly a step forward.

Even pancake lenses have to undergo painful compromises, perhaps even worse ones. In fact, I was truly astonished by the extremely visible and annoying phenomenon of image splitting. Currently, pancake lenses are a real gamble if this problem is not resolved. Let me explain. One of the applications developed by the LINKS Foundation and tested on the Quest Pro is the virtual visit to the Vasari Machine, an altar created by Vasari. The sculptures of the angels have halos on their heads. Well, in the Quest Pro I could clearly see two halos on the head of each angel! The second one was darker, semitransparent, a sort of aura or shadow, but with a distinctly recognizable shape, one centimeter above the original one! What mystery is this? I won’t bore you with the physics of pancake lenses; this splitting is caused by multiple reflections inside the lenses replacing the phenomenon of refraction to bend and focus rays of light. The same splitting is noticeable when looking at the texts and icons in the menu, as well as the details of objects in general. Once you look for it, it’s impossible not to see it; it’s not something you have to strain to notice. In brighter scenes like the one of the Vasari Machine, it easily catches the eye.

Diffraction Gratings provided by Richardson Gratings. Each NSSSC team will be given one (1) diffraction grating free of charge, courtesy of Richardson Gratings.

GigEcamera price

In conclusion, after a short test of two pancake lens-mounted headsets, I can say that pancake lenses are not the miracle that many influencers want you to believe. The feeling is that, on the contrary, they are currently a disadvantage for VR perception. Actually I prefer the trade-offs of aspherical or hybrid/custom aspherical-Fresnel lenses. Of course, it’s good to continue researching and experimenting with pancake lenses. If they solve the issues I experienced and the price drops, they are the key for more compact HMD. These are just early impressions, I need to test pancake lenses further.

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But that’s not the only compromise of pancake lenses. These lenses have a light transmission ratio around 25%, meaning that 3/4 of the light emitted from the display does not reach our eyes. I had the impression that the brightness of the Quest Pro was similar to that of the Quest 2 (100 nits), which means that the Quest Pro display must necessarily be much brighter and therefore consume much more energy, which is not ideal for the battery life of standalone devices that Meta insists on promoting. All lenses absorb or scatter some light, but Fresnel lenses have maximum losses of 10%, not 75% like pancake lenses! As consequence you have less vivid or more dull colors and smaller contrast ratio with pancake lenses.

GigE cameras up to 31MP are available from GeT Cameras Inc. for industrial, OEM, and machine vision applications. Our affordable pricing are clearly displayed for each GigE camera, and you may purchase them straight from our website. Various CCD and CMOS sensors from well-known brands such as Sony, Gpixel, Sharp, Aptina, and OnSemi are available for industrial GigE cameras. The sensor is housed in a small GigE camera housing made of aluminium.

We not only sell Daheng Imaging industrial cameras, but we also offer exceptional customer service. If you run into any issues or have questions about connecting one of our cameras, you may speak with one of our machine vision specialists. Are you thinking about purchasing a GigE camera? Would you like to learn more about our GigE cameras first? We'll be pleased to assist you and answer any questions you may have regarding industrial GigE Vision cameras.

GigEVision

The passthrough mode is truly disappointing. The image is full of noise and blurred, like watching a low-resolution image captured by an old VHS camcorder, with faded colors, low contrast, full of white noise, and noticeable latency. The image of objects closest to you even doubles and distorts excessively and unsustainably for our eyes. If this is the basis for the much-touted and promised MR by Meta, prepare for an epic failure.

An industrial gigabit ethernet camera is also called GigE Vision camera. RAW image data from GigE cameras is sent to a computer as rapidly as possible. Because this data is uncompressed, image-processing tools may perform extremely precise assessments. The GigE vision cameras can be operated with microsecond precision. The cameras are of professional grade. Every Daheng Imaging model is guaranteed for at least 7 years. As a result, machine builders can create the same machine over and over again. They do not need to be concerned about the specified GigE Vision camera becoming unavailable.

GigEcamera Python

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GigEcamera software

Let’s move on to the VR mode. First of all, the Quest Pro is not suitable for VR, as light enters abundantly from the bottom of the headset; you can see around you simply by tilting your head slightly up and lowering your eyes. Despite the wheel for eye relief adjustment, the lenses remained far from my eyes, so i could not access the maximum FOV. To be clear, usually my lashes almost touch the lenses of my Reverb G2, such to have maximum FOV; I could not replicate the same situation with QuestPro. Maybe, it is designed for MR, where large FOV are not requested; in fact, in AR/MR glasses, the overlay of CGI elements on the real world usually occurs in the central and foveal part of the FOV, avoiding the extrafoveal peripheral parts. Sorry for repeating myself, but MR is shaping up to be a truly deep disappointment; as I have always said and continue to repeat, it is an extremely premature and immature technology compared to VR, which is light-years ahead and much more satisfying despite its current limitations and defects. If Meta really wants to persist with MR, it will risk total failure and be forced to completely abandon the XR market. Which perhaps is a good thing given the inadequate choices made so far that weigh negatively on the present and future of VR. I would prefer different company to lead the VR market.

The most common interface for attaching a vision camera in machine vision applications is Gigabit Ethernet, or GigE. Power over Ethernet (PoE) is an acronym for power over Ethernet. The network cable serves as both a communication and a power supply for the camera.

FLIRGigEcamera

I can’t definitively say the last word on pancake lenses after trying them out for only an hour. However, they are not all sunshine and rainbows as social media influencers and specialized magazines tend to hype. Personally, the image splitting and the heavy cut of brightness, contrast and colors are unacceptable compromises in VR experiences. I prefer custom/hybrid aspherical-Fresnel lenses that maximize the sweet spot and make the central image clearer despite their drawbacks; or smooth aspherical lenses that may suffer from peripheral distortion and aberration, but not to the extent of pancake lenses, while still providing a very wide and clear sweet spot comparable to pancake’s. The real advantage of pancake lenses is their extremely short focal length, allowing for a more compact HMD configuration compared to thicker and heavier Fresnel or aspheric lenses with larger focal lengths. I don’t deny some advantages of pancake lenses, but there is still a lot of work to be done to make them the standard in the VR market. Don’t forget that it’s a new technology and as consequence high quality pancake lenses are very expensive.

GigE vision is supported by Daheng Imaging's industrial GigE cameras. The GigE Vision standard is based on the GenICam protocol developed by the European Machine Vision Association. This enables all standard image-processing software programs to communicate with GigE Vision compliant Ethernet cameras. Matlab, Halcon, Adaptive Vision, and Labview are some of the most regularly used image-processing software tools. For our Gigabit Ethernet cameras, we offer provide a free SDK (download page). You can easily operate the camera, capture photographs, and change parameters using this SDK. Programmers will find it simple to integrate our Gigabit Ethernet cameras into their own software.

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Let’s now talk about the Pico 4. The first thing that stands out when switching from the Quest Pro to the Pico 4 is the higher image definition, thanks to the higher display resolution. It’s a feast for the eyes! Unfortunately, that’s the only advantage of the Pico 4. The image is noticeably darker and less bright, less contrasted, less vivid, more faded. Probably, to increase battery life, a display that’s not bright enough for pancake lenses was chosen. Perhaps this is why the image doubling is less visible, even though the Pico also uses pancake lenses. The worst flaw is the wobbling and warping of images when you move your head quickly, a bit like seeing underwater images distorted by a wave. This is probably because the mobile chipset struggles to manage the high resolution of the displays (2160 x 2160 per eye). Or it could be a flaw that still needs to be corrected with some firmware patches. The passthrough is less noisy and more defined than that of the Quest Pro, but it’s less bright and lacks depth entirely; all proportions are wrong in relation to the distance from the eyes, and everything looks very flat, as if there were no stereoscopic vision. I found the headset more clumsy, bulky, and less comfortable to wear than the Quest Pro, which already doesn’t shine in this regard. I couldn’t adequately test the controller tracking. Considering the huge price difference, 1200 euros vs 400 euros, the Pico 4, despite its flaws, remains competitive. High definition should not be underestimated, and if they solve the warping problem, it becomes even more interesting.

A Ethernet camera is also known as an IP camera. These are primarily used for security. Images are compressed before being sent over a network wire. As a result, only a small amount of storage is required to save these photographs. These compressed images, on the other hand, are lacking in detail, which is critical for machine vision applications. There is also a significant delay between taking and receiving the image, and Ethernet cameras cannot be precisely triggered. Keep in mind that IP camera models are updated on a regular basis and without warning. Older versions are no longer accessible. Daheng Imaging specializes in manufacturing industrial Gigabit Ethernet cameras for machine vision and other industrial applications.

Let’s start with the Quest Pro. The comfort level is not the best because of the lack of a top strap, which causes the weight to rest on the forehead.

One thing I appreciated about the Quest Pro, which is lacking in the Quest 2, is the fine IPD adjustment. Initially, the IPD was adjusted to the owner’s (70mm), but with a quick adjustment, I brought the lenses closer and fixed the IPD at 63 mm, significantly improving my vision. IPD really makes a difference. Don’t buy headsets without fine IPD adjustment or with a range that doesn’t cover your IPD.

In industries, Gigabit Ethernet cameras are utilized for product quality inspections and process automation. The Gigabit Ethernet camera transmits RAW images to the PC through a network cable. Following that, the computer's image-processing software examines the images. What happens next is determined by the outcome of this process. Controlling a robot or discriminating good from bad items are two examples.

The cable length, the affordability of the cable, and the ease of installing an ethernet cable are the greatest advantages of a GigE Vision camera over a USB2 or USB3 camera. The following are some of the features of GigE Vision cameras: