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ReMap

Industry wide possibilities

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moneysign

Reduce your costs by:
- Switching to plastic lenses

- Relaxing manufacturing requirements

- Reducing number of optical elements

With ReMap, you can rectify the distortion and chromatic aberrations associated with regular optical systems. 

ReMap is an algorithmic correction method, so no special hardware is needed. Simply add the correction to your imaging computation pipeline.

Increase your performance:

- Quality
- Profit Margins
- Simplicity of your designs

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You can expect to reduce your camera cost by up to 66% once you see the results.

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Whether your products have projectors, display-lens systems, cameras, varifocal lenses and more, we can help you achieve the perfect images you are striving for. 

AR/VR Industry:

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For your customers to buy into your product, they must be able to afford it. The only way to gain mainstream adoption is competitive consumer prices. When talking about VR/AR products, weight, form-factor, immersion and quality of the optics is of upmost importance, but before ReMap, that had a cost.The latest technologies and design require extreme precision in their manufacturing and even that is not enough to remove all optical issues. Simplify all this, and use ReMap to allow you to reduce your production cost and still meet the demands of the technology hungry markets.

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Camera Industry:

From phone cameras, headset cameras, professional cameras to telescopes, microscopes, metrology system cameras, ReMap can help in reducing the form factor, and complexity, while increasing the quality of your images. 

If you use wide angle lenses in your products, you will want to use ReMap to rectify to a perfect imaging system. 

Perfect for freeform optics.

Waveguide Industry:

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Whether your waveguide system uses projectors or micro-displays, ReMap enables you to correct any image imperfection happening due to the waveguide imperfection. We will one-up you and even show that can be done for plastic waveguides. Stop spending half your budget on complex waveguides that are troublesome, and use ReMap to fix the output back to a perfect image that your customers will adore.

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Automotive Industry:

The current race for self-driving and camera systems in the automotive industry requires an ever increasing reliability of the optics behind these technologies.

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The current camera-based self-driving systems train on simulations using perfect optical characteristics. Training AI models in these conditions do not translate properly when real-world cameras suffer from chromatic aberrations and geometric distortions. We can solve that!

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The solution? Use ReMap, where pre-calibration distortions do not matter.

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