MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641050765 A) filed by Priyanka Madhiraju; Dr. G. Brindha; Mr. Selvamanikandanr; and D. Gopiselvan on April 21, 2026, for Ai Based Construction Site Hazard Detection And Accident Prevention Using Sensors.
Inventors include Priyanka Madhiraju; Dr. G. Brindha; Mr. Selvamanikandanr; and D. Gopiselvan.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Construction sites are among the most dangerous workplaces, with accidents often caused by human mistake, equipment malfunction, or improper practices. Traditional safety measures, such as manual inspections and personal protective equipment, are often reactive and have 5 limited efficacy. It describes an artificial intelligence- based hazard identification and accident prevention system that uses real-time sensor data to improve construction site safety. Sensors such as motion detectors, proximity sensors, thermal cameras, and wearable devices continually gather information about worker motions, industrial functioning, and ambient conditions. This data is processed by AI algorithms, which detect possible dangers, anticipate 10 high-risk events, and provide rapid notifications to workers and managers. The experimental findings show that the system may greatly decrease the chance of accidents by allowing proactive safety actions. This strategy, which combines AI with sensor technologies, not only increases accident prevention but also helps to comply with safety requirements, decrease downtime, and create a safer work environment. The suggested approach is a step toward 15 smarter, more predictive, and sustainable building site management.
Disclaimer: Curated by HT Syndication.
