Russian trucks are receiving ‘dazzle paint,’ borrowing the same kind of tactic Russia has used for some of its most important military aircraft, to try to confuse seekers on standoff weaponry that use image-matching capability.
Several images showing the unusually painted Russian trucks have appeared on social media channels in recent days. So far, examples of Ural and KAMAZ heavy-duty truck designs have surfaced. There are at least two distinct patterns so far: a zebra-style application of broadly straight lines, and a more organic, leaf-like, swirling design. In both cases, they extend over most external surfaces, including the wheels and tyres.
It is not entirely clear if the white paint is applied over a layer of black, or portions of black, or if the white is simply coated over the standard base color of very dark green. It could be a mix of both application concepts, as well.
At first sight, the truck patterns recall the iconic paint scheme that the U.K. Royal Navy pioneered for its warships back in World War I. ‘Dazzle paint’ or ‘dazzle camouflage’ was devised in 1917 by official War Artist Norman Wilkinson, as a means of reducing losses to attacks by German submarines, or U-boats. The geometric patterns work by using highly contrasting color blocks, often heavily featuring black and white, as part of a carefully constructed pattern that breaks up the form of the ship and makes it harder to judge range and perspective.
HMS Argus
When first introduced, dazzle paint was intended to trick the human eye, normally looking through a periscope. There was still a benefit to be had in protecting vessels after the introduction of improved rangefinders and radar. For the eye, it made it harder to judge a ship’s course and speed, as well as simply identifying it reliably.
The same basic principle is at work on the dazzle-painted Russian trucks, although now it’s an artificial eye — chiefly using electro-optical and/or infrared cameras — that is supposed to be fooled.
Increasingly, Ukrainian drones are using artificial intelligence (AI) to boost their combat effectiveness. This includes machine vision: a process of the drone learning object recognition, identification, classification, and tracking, as well as providing recommendations for the operator on what to do, provided there is an operator at all and the drone is not running autonomously.
The drawback of machine vision that the Russian countermeasure is supposed to exploit is the onboard AI agent’s capacity for learning object recognition. While it may be able to recognize a 6×6 Ural, for example, out of a wide range of potential truck targets, if the appearance of the vehicle is distorted enough, it will not be positively identified, or at least meet the threshold of corroboration that would result in a kinetic act. However, still with many drones that feature AI assistance, a human operator stays in or on the loop for all critical decisions.
This raises the question of how successful the dazzle-painted trucks might be, although the thinking here presumably stresses avoidance of detection during the autonomous target-search phase, rather than the endgame of an engagement. It is also worth noting that these kinds of paint schemes only really have value in areas where they are unlikely to be seen by any Ukrainian human eyes, even remotely via a sensor; after all, they are far more conspicuous than their standard-painted counterparts.
It’s also possible that a drone could be taught to specifically hunt these patterns, as nothing else on the battlefield would look like them and they would be confirmed hostile by default.
Source: The War Zone