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C53
C53
C53

See the unseen around your mining fleet.

  • #MiningSafety
  • #BlindSpotDetection
  • #PedestrianDetection
  • #BlacklightCamera
  • #OpenPitMining
  • #HaulTruck

This open-pit mining blind-spot camera provides AI-powered detection of pedestrians and small vehicles hidden around haul trucks and auxiliary equipment. With mining-tuned algorithms, urban/mining dual modes and blacklight imaging, it delivers reliable alerts on unmarked roads, complex intersections and night shifts, helping operators avoid the accidents they can’t see coming.

Product features

Mining-adaptive AI tuned for unmarked roads, complex junctions and unique mining maneuvers

People and vehicle recognition for pedestrians and small vehicles such as pickups, light trucks and inspection cars in blind spots

Single hardware platform with dual operational modes: urban pedestrian warning mode and full-mine blind-spot protection mode

Blacklight technology for uncompromised vision and stable detection in low light, dust, fog and night operations

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.