Technology
We utilize advanced machine learning (AI/ML) in order to examine the driver's subconscious behavioural patterns manifested both outside and inside the vehicle. By discovering unique trends, uncovering involuntary reactions and analysing aware cognitive processes, we can accomplish unprecedented standards of accident prevention (94% effectiveness). Our methodology was both verified during scientific research and validated in relevant environment.
TCR App Mobility offers a fully autonomous, AI-driven mobile application (Android and iOS) that can predict and prevent road traffic accidents caused by tiredness and inattention (achieving empirically validated 94% effectiveness within just 3 months of contact with a particular customer). This process is made possible thanks to the non-invasive monitoring of nearly a hundred health and behaviour-related parameters, registered exclusively by embedded sensors of a smartphone.
Our product is rooted in 2-year-long scientific research with pioneering findings about human cognition. It constantly analyses the driver’s subconscious behavioural patterns observed both outside of the vehicle (related to health, sleep traits and quality, lifestyle, environment) and during a journey (derived from vehicle trajectory, acceleration changes, biometric data, triggering events). We utilize our proprietary deep neural networks (LSTM RNNs that operate within a reinforcement learning framework) to translate collected data into personalized mathematical representations of the user’s brain activity. These models are subsequently employed to determine in what way the user’s organism behaves a few minutes before an approaching attention lapse.
Our mobile application emits sound alerts whenever a similarly dangerous tendency is observed — thereby interrupting the natural process of losing attention prior to any of its negative consequences (and ensuring sustained awareness throughout the entire journey). In contrast to our competitors (who can only detect excessive tiredness once it has already begun), TCR App Mobility is able to identify the driver’s individual subconscious behavioural patterns that precede (and therefore forecast) the incoming lapses in attention.
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​At the same time, we are developing additional solutions based on our core technology — including [1] a mobile tool for presymptomatic medical diagnostics (a module within our mobile application) that can detect prevalent medical disorders (e.g., dementia, Parkinson’s disease, diabetes, arthritis) years before their clinical symptoms appear, as well as [2] a crowdsourced road safety database (a web platform that aggregates data from multiple users of our mobile application and provides it to cities, municipalities, public institutions and private companies).