SafeNet - AI Assisted Traffic Safety for Integrated Transportation - PREDICT - PREVENT - PROTECT

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SafeNet is an AI- Assisted Traffic Safety Solution that Predicts, Prevents and Protects in an Integrated Traffic Ecosystem.

SafeNet Mobility Suite is a next-generation, AI-driven traffic safety solution designed to orchestrate heterogeneous, software-defined connected and autonomous traffic ecosystems. This is well suited for smart cities and smart environments where multiple autonomous and automated systems, along with software-defined mobility units, are deployed and in operation.

The application can scale from a smart factory with multiple autonomous machines to transporters, to autonomous logistic stations, and smart cities. The platform operates based on the concept of data-based predictive monitoring and proactive response.

The primary application of SafeNet is in smart cities integrating various transportation modes, and it operates by continuously ingesting, normalizing, and analyzing high-velocity telemetry from connected human-driven vehicles, Autonomous Vehicles (AVs), transit networks, and multi-modal operator platforms, which can be even include transportation infrastructure and ecosystem elements to establish a real-time predictive safety envelope. The system shifts the paradigm of municipal incident management from a reactive, damage-control model to a proactive, preemptive protection model. So that authorities can act to prevent hazards and accidents from happening rather than responding after a hazard has occurred.

SafeNet Core Engine: PREDICT, PREVENT, PROTECT

PREDICT: Predictive Diagnostics & Maintenance

The system continuously calculates a Vehicle Health & Risk Index for every active asset in the ecosystem:

  • Edge Anomaly Detection: Rather than waiting for a Diagnostic Trouble Code (DTC) to trigger, SafeNet processes sub-second variations to classify, and analyse the associated risk.

  • Machine Learning Diagnostic Pipeline: Advanced predictive models compare real-time data against historical degradation signatures.

PREVENT: Proactive Next-Step Optimization

  • Dynamic Fleet Routing: The system pushes an immediate mitigation command to the respective operator's dispatch.

  • Automated Service Scheduling: SafeNet sends an API package to the operator’s depot, organizing immediate vehicle replacement and locking in an emergency maintenance window, minimizing urban downtime, and avoiding roadside stranding.

PROTECT: First Responder Dispatch & Hazard Interception

The traditional methods in traffic safety rely on citizens dialing emergency services after an impact. SafeNet flips this timeline by establishing a Pre-Accident Trigger Protocol:

  • Preemptive Incident Triggering: If a vehicle suffers a catastrophic mid-transit failure that cannot be safely mitigated via taking a minimum-risk maneuver, SafeNet calculates the projected trajectory and hazard zone.

  • First Responder Activation: The system automatically establishes a direct data link to emergency services (police, fire, medical) before an accident occurs. SafeNet communicates the vehicle's vector, payload hazards, and exact location.

  • Smart City Infrastructure Orchestration: Simultaneously, SafeNet commands the municipal Intelligent Transportation System (ITS) to alter traffic signal phases (turning all intersecting lights red to clear the box), triggers dynamic digital signage to warn surrounding drivers.

SafeNet can be scaled from a small automated logical centre to ports, airports, to a multi-operator fleet and safety management solution for smart cities. It is a system that allows you to act proactively and confidently based on data, rather than reacting to emergencies.

With SafeNet, we don’t just respond to accidents, we predict them, we prevent them, and we protect our communities everywhere.

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  • About the Entrant

  • Name:
    Plato Pathrose
  • Type of entry:
    individual
  • Profession:
    Engineer/Designer
  • Software used for this entry:
    The user interface using webtechnology similar like a web page, the back end utilized Big data management, and live data tranmission.
  • Patent status:
    pending