A digital platform with artificial intelligence elements has been introduced in the North Kazakhstan region to monitor the quality of road works. The system allows real-time tracking of the entire inspection process and eliminates the possibility of data substitution or correction. This was reported by Qazaqyia.kz citing Kursiv Media.
During road repairs, specialists from the National Center for Road Asset Quality take asphalt concrete samples. Each sample is assigned a unique QR code, and the sampling location is automatically recorded on an electronic map.
According to engineer Aidar Sadvokasov of the National Center for Road Asset Quality, digitalization has eliminated paper documentation and reduced the risk of errors.
"Previously, these acts were filled out manually, now they are done on an electronic tablet. Everything is convenient, everything is digitized, and the human error factor is eliminated. There is also an advantage in photo-fixing the object and sampling. The photo automatically shows the location where the samples were taken," he said.
After the samples are delivered to the laboratory, they are tested on equipment equipped with artificial intelligence elements. According to specialists, it is impossible to interfere with the test results.
According to the branch of the National Center for Road Asset Quality, about 20% of the tested samples do not meet the established requirements.
"We tested 440 samples over six months, of which about 20% showed non-compliance. Currently, instructions have been sent to the customer and contractor regarding these non-compliances. The contractor is eliminating these non-compliances," said branch director Kanat Userbayev.
After the identified defects are eliminated, the road sections undergo re-inspection.
The total length of roads in the North Kazakhstan region is about 8,200 kilometers. In 2026, the region plans to repair about 700 kilometers of roads. About 90 billion tenge has been allocated for these purposes.