The new mobile ST-2630M inspection complex can scan trucks in just a few minutes, identify suspicious materials, and locate hidden compartments without the need for a full manual inspection
Russian state-owned corporation Rostec announced the market launch of the ST-2630M mobile inspection and control complex, a kind of “X-ray for trucks” developed on the three-axle KAMAZ-65658 chassis from the K5 transport family.
According to the company, the project was developed in partnership between KAMAZ, the scientific-industrial companies Torium and Scantronic Systems, with a focus on meeting the needs of customs and border authorities operating in locations with high cargo traffic, such as seaports, logistics centers, and other strategic points.
The system is designed to expand inspection capacity in a faster and more flexible way. Unlike fixed solutions, the ST-2630M can be quickly redeployed to more sensitive regions, strengthening control on congested or higher-risk routes.
According to Rostec, the complex uses a linear electron accelerator and is capable of “seeing” through thick metal structures, penetrating steel up to 32 centimeters thick. In addition, the system can identify four groups of materials based on the effective atomic number of the analyzed substance.
In practice, this makes it possible to detect drugs, explosives, ammunition, and other types of prohibited cargo, including when hidden in concealed compartments or among goods weighing dozens of tons. The company also says the equipment can complete a full truck scan in just a few minutes.
Another highlighted point is the operational gain. With the use of the mobile complex, inspection procedures tend to become faster and more efficient, reducing reliance on manual checks and increasing inspection capacity in areas with heavy logistics flow.
+ UAC delivers first Su-35S jets of 2026 as Russia opens new phase of airpower buildup
+ French Rafale fighter jets intercept Russian Su-30SM fighter
Source and images: Telegram @rostecru | KAMAZ. This content was created with the help of AI and reviewed by the editorial team
