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Connected Car Diagnostics:  Develop software that allows car dealerships to remotely diagnose vehicle issues through an internet connection.

OBD-II Integration: Integrate with a vehicle's On-Board Diagnostics (OBD-II) port to access real-time data on engine performance, sensor readings, and potential malfunctions.

Predictive Maintenance: Analyze diagnostic data to predict potential issues and recommend preventative maintenance actions, reducing downtime and repair costs.

Remote Software Updates: Enable remote software updates for car systems, ensuring vehicles are always running the latest bug fixes and security patches.

Autonomous Vehicle Software Development (Potential): While likely in its early stages for SSTL, they could explore involvement in:

  • Sensor Fusion: Develop software to integrate data from various sensors like cameras, LiDAR, and radar to create a complete picture of the vehicle's surroundings.
  • Path Planning and Navigation: Develop algorithms for autonomous route planning, obstacle avoidance, and safe navigation in different driving scenarios.
  • Machine Learning for Decision Making: Utilize machine learning to train the car's AI to make real-time decisions based on sensor data and traffic conditions.

In-Vehicle Entertainment Systems:  Develop  customizable in-vehicle entertainment systems with features like:

  • Voice-controlled Navigation: Integrate voice-controlled navigation systems for hands-free operation.
  • Streaming Services Integration: Integrate with popular streaming services for music, podcasts, and audiobooks.
  • Car-to-Cell Connectivity: Develop features that leverage car-to-cell connectivity to share real-time traffic information and warnings with other vehicles.