I am an R&D Software Engineer in computer vision for Zappar, an augmented reality company in London.

I develop performant low-level computer vision algorithms for use in augmented reality applications.

At Zappar I primarily work on marker based tracking techniques for two products: Zapbox, a mixed reality headset, and Zapvision, an advanced QR detection and tracking system for the blind and partially-sighted community.

I am a multidisciplinary engineer and can contribute to all levels of an application stack. For example, from SIMD algorithms up to architecture design and native mobile and web app development. I have developed an in-house analysis tool for our computer vision pipeline which provides visual debugging tools for our computer vision pipeline.

I work on all aspects of the design, development, and analysis for both Zapbox and Zapvision. These products are compute intensive and run in real-time on mobile devices. I contribute to the design of performant low-level algorithms for marker detection and tracking, and am responsible for native implementations in C++. I help other team members integrate Zappar's computer vision libraries into native applications, and am currently building a 'WebXR Browser' for Zapbox, which is an iOS application that intercepts WebGL running in a webpage and replays it natively in our stereo runtime using the WebKit browser engine.

I'm originally from New Zealand but now live close to Richmond Park in London (UK).

I can be contacted at jordan.evan.campbell@gmail.com.