All the highways in India are all set for technology enhancement. The National Highways Authority of India (NHAI) is reportedly planning to install AI-based drive recorder systems on around 40,000 km of roads in India. The initiative appears to be an attempt to make India’s highway management more data-driven and advanced. Officials will reportedly use cameras to detect problems, rather than waiting for complaints or accidents to occur. Inspections are conducted weekly and defects are detected with cameras and monitored in real time.
AI drive recorder set to transform India’s highways Real-time road monitoring
According to a PIB report, route patrol vehicles will be equipped with dedicated dashboard cameras. These vehicles are expected to carry out weekly surveys across all major sections. The cameras record high-resolution images and videos, and the AI model analyzes more than 30 types of defects and anomalies. The main idea is to automate detection and reduce the need for manual inspection.The main focus of this system is pavement condition. Potholes, ruts and severe cracks are identified early. AI models reportedly use advanced machine learning to automatically detect these issues. Experts say early detection can reduce long-term maintenance costs and prevent sudden road hazards. The system also appears to be able to track repair progress over time.
AI-powered road monitoring: How in-vehicle cameras detect potholes, cracks, and more
On Indian highways, they are installed on route patrol vehicles to constantly monitor the roads. They record high-resolution images and videos every week, but the real twist is that AI and machine learning systems automatically analyze this footage. These models are trained to spot over 30 different issues, from potholes, ruts, and cracks to faded lane markings, broken barriers, and non-functioning streetlights.
AI keeps an eye on the other side of the road: safety, signage, and night inspections
AI systems are not limited to roads. Road equipment such as lane markings, collision prevention fences, and street lights are also covered. Faded or damaged components are flagged in real-time. Surveillance will also be extended to safety issues and intrusions. Illegal median openings, unauthorized signage, and roadside encroachments will be recorded. Illegal parking along highways may also be identified. This makes the system more comprehensive than traditional inspections.NHAI is reportedly planning to conduct night surveys at least once a month for each section. Nighttime checks are critical for evaluating road signs, reflective pavement markings, road studs, and highway lighting. These investigations can reveal problems that may be missed during daytime inspections. Officials say the addition of nighttime data could improve safety for drivers traveling after dark.
AI dashboards and data zones make monitoring easier
To effectively process this huge amount of data, NHAI plans to divide the country into five surveillance zones. Each of these zones has specific IT solutions to process data, perform AI analysis, and display results through interactive dashboards. Side-by-side analysis of road conditions will reportedly help authorities track maintenance progress. The results generated by AI will be integrated into the Data Lake solution provided by NHAI.
