Demonstration
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Target architecture
The target architecture of our device is made up of three parts:
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The SpangBox, a standalone smart box, which analyses the situation and notifies the following vehicle
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The SpangApp on the user's phone which controls the SpangBox and manages information transit
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The SpangServer which receives and stores the anonymous information
Herewith a model of the SpangApp's landing page :
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Mock-up
A validation model was built to prove the technical feasibility.
We are currently developing a prototype and we are looking for potential partners to industrialize a version that can be integrated into the majority of private vehicles.
Illustration
In order to have a more accurate idea of how our innovation works, you can now view an illustrative video of the latest version of our prototype
Technical analysis
These images display the current version of the real-time image analysis software in action. Through machine learning, it is able to analyse snapshots of the road and infer intra-vehicle distance.
The SpangBox on the road
To keep track of vehicles behind a car (or any four-wheels vehicle), the SpangBox is placed on its rear window with a suction cup fixation system.
Images of the current version of the SpangBox mounted on a car during a driving sequence.
Images of the current version of the SpangBox during an electric scooter testing sequence
To keep track of vehicles behind an electric scooter (or bike), the SpangBox is placed on the backpack of the rider with a clipping fixation system.
Futurs developments
Spangbox on public and private buses
In order to protect travellers, a SpangBox with an adjusted display can be placed at the back of a bus. This is especially relevant for school buses.