AD Max is a native 6-channel AI dashcam built for full vehicle coverage—front, cabin, rear, cargo, and blind spots. Its 4MP black-light front camera delivers clear, high-resolution video even at night. Using advanced AI, it identifies unsafe driving behaviors and provides real-time alerts while automatically uploading video evidence and event data to the fleet platform. With built-in eMMC storage, real-time positioning, and remote HD playback, it offers high reliability and complete operational visibility for fleet managers.
Product features
4MP ultra-wide road camera with black-light night vision, paired with a 4MP HD cabin camera
Supports up to 6-channel recording (1 AHD + 3 IPC external cameras)
On-board eMMC storage (up to 256GB) plus MicroSD expansion (up to 1TB)
Built-in Wi-Fi / Bluetooth / 4G and inertial navigation
AES256 encryption + TLS1.3 secure data transmission
Slidable privacy shutter for the in-cabin camera protects driver privacy when parked
Contact immediately to unlock detailed information for all products.
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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