Choosing an AI system by truck type: a short guide

It is tempting to think of "cameras for trucks" as one product. In practice, a concrete mixer's pain differs from a feed hauler's, which differs from a mining truck's. The technology core is the same - cameras and an AI computer processing video on the vehicle - but the dedicated fit per type is what produces real return.

In distribution and delivery, the pain is proof of delivery, disputes and routes. There the system focuses on POD, counting, route optimization and a digital signature. In concrete and feed, the pain is mixing and assignment - that is where assignment-sticker recognition and silo OCR come in, preventing a "cocktail" before it happens.

In mining and quarrying, the equation is safety versus output: pedestrian detection, driver fatigue and cycle measurement. In refrigerated transport, the pain is the cold chain - continuous temperature monitoring on the same platform. And in hazardous and medical materials, the pain is safety and admissible documentation at every step.

The right question for a vendor is not "how many cameras" but "what does the system detect on my truck type, and how does it connect to my systems". One system that adapts to the vehicle type - instead of a generic product - is the difference between a dashcam and an operational control system.