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End-to-end optimized wireless video solution

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Traditional video communication pipelines are prone to disconnect in unstable wireless environments due to the modular approach, leading to multiple failure points.

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WAIveform vertically integrates the entire transmission pipeline, optimizing each component end-to-end, using state-of-the-art Deep Learning methods.

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drone

Never
lose video

stop-watch

< 1ms latency

DNN

Optimized using
Deep Learning

nvidia

Accelerated with
NVIDIA TensorRT

jetson_nx

Runs on low-cost
embedded devices

Demo

Use Cases

Drones

WAIveform can enable drones to fly further without losing video feed and thanks to the parallelizability of Deep Neural Networks, the energy efficiency is much greater than conventional approaches, allowing the drone to fly further and longer.

Wireless VR/AR

No one likes to be tethered to a bulky gaming PC when they are enjoying the metaverse. WAIveform is capable of delivering <1ms video latency, making it uniquely suitable for uncompromized wireless VR/AR experiences.

Our team

Prof. Deniz Gunduz

Professor at Imperial College London

Tze-Yang Tung

PhD candidate at Imperial College London

We are fundraising!

Interested in learning more about WAIveform? Contact us today!

Prof. Deniz Gunduz

d.gunduz@imperial.ac.uk

Tze-Yang Tung

tze-yang.tung14@imperial.ac.uk