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C6 Lite 2.0
C6 Lite 2.0
C6 Lite 2.0
C6 Lite 2.0
C6 Lite 2.0

Entry-Level AI Dashcam: The most affordable first step into ADAS and DSC.

  • #DriverSafety
  • #AIAlerts
  • #ADAS
  • #DSC
  • #FleetManagement
  • #VideoTelematics

The C6 Lite 2.0 is an entry-level 2-channel AI dashcam built for SMB fleets seeking a cost-effective way to adopt ADAS and DSC. With real-time detection of unsafe driving behaviors and instant in-cab alerts, it helps drivers avoid accidents and improve day-to-day driving habits. Event footage and driving data can be uploaded to the fleet platform for coaching and compliance management. In addition, live location, vehicle status data, remote intercom, and HD playback provide essential fleet visibility—without the cost or complexity of multi-channel systems. With easy OBD installation and a simple, user-friendly design, it delivers practical AI protection at outstanding value.

Product features

Dual ultra-wide front and cabin lenses, supporting up to 1080P HD recording

Supports 2-channel recording

Up to 2 × 1TB MicroSD storage with simultaneous main & sub-stream recording

Built-in Wi-Fi, 4G, positioning module, and 6-axis G-sensor for essential connectivity and driving event detection

AES256 encryption + TLS1.3 secure data transmission

Echo-cancellation technology keeps platform-to-cabin communication clear and echo-free

Streamax is committed to the responsible and ethical deployment of technology. Our solutions are developed with a privacy-by-design and security-first architecture. All data processing occurs locally on the edge device, ensuring that personally identifiable information, including biometric data, is neither stored nor transmitted to the cloud, thereby adhering to global data sovereignty regulations.

The AI features and performance metrics referenced in our materials are based on data from extensive internal testing and validation under controlled, laboratory-style scenarios. These results are provided to demonstrate our technological capabilities and direction; however, actual performance may vary in real-world operating environments and should be validated by the end-user.

Our AI models are trained on diverse, legally sourced datasets and are designed to function strictly as decision-support tools for human operators, not as autonomous systems. We actively mitigate algorithmic bias and our development process aligns with emerging global standards for AI ethics and functional safety.

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