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The Automated Videoing Assistant (AVA)
The Automated Videoing Assistant (AVA)
The Automated Videoing Assistant (AVA)
The Automated Videoing Assistant (AVA)

The Automated Videoing Assistant (AVA)

Our flagship creation, built from scratch, the Automated Videoing Assistant (AVA) is an auto-tracking phone and tablet holder doing things that no other product in the world is doing right now. It's the only device capable of providing auto-tracking to an iPad amongst other unique features. It works by loading a dedicated app (AVA Hub) onto a tablet or phone which is available from the Google Play or Apple App Store. The loaded app then connects to the AVA device via bluetooth. The app then loads in a computer vision machine learning model of either 'Face' 'Person' "Horse', 'Dog', 'Sports Ball' or 'Bicycle'. Whichever model is loaded in, the app will communicate with the AVA device and report positions for AVA which will respond accordingly, keeping the tracking subject in the middle of the screen. AVA is your personal robotic camera operator and videographer.

AVA provides 360 degrees tracking and is capable of 250 different speeds. It can go as fast as a rotation in 3 seconds or as slow as a rotation in 24 hours, depending on your content creation environment. A variety of settings in the app give flexibility for your content creation and recording environment. The AVA device also has manual function capability via an included remote and can mix & match manual function with auto-tracking.

AVA was initially launched and funded through a successful crowd funding campaign and went on to win awards and feature on innovative tech shows such as BBC Click and Google's Tensorflow channel. Despite being designed in 2019, our evolution approach with our products has kept it one step ahead of rival products doing things that no other device can do. AVA is on sale through Amazon and via our own AVA brand website at: https://ava.website.

Client
Our Product (Exon AI Ltd)
AI technology
Computer Vision & Object Detection Based Neural Network
Date
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