MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541121508 A) filed by Saveetha Institute Of Medical And Technical Sciences, Chennai, Tamil Nadu, on Dec. 4, 2025, for 'ai-enabled smart helmet for real-time industrial worker safety and health monitoring.'
Inventor(s) include Dr M Tamilselvi; Dr. Thandaiah Prabhu; and Dr Ramya Mohan.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Workers are frequently exposed to dangerous situations that can result in serious injuries or even death in industrial settings like manufacturing facilities, chemical plants, mining areas, and construction sites. Because of changing environmental hazards and the absence of realtime health and danger detection systems, ensuring their safety and well-being is a constant problem. By combining cutting-edge sensing technologies, sophisticated decision-making algorithms, and wireless communication modules into a single wearable device, the proposed invention presents a revolutionary Al-enabled smart helmet system intended to proactively monitor and protect industrial workers. In order to track environmental factors including ambient temperature, humidity, noise levels, poisonous gas levels, and abrupt motion or fall detection, as well as physiological data like heart rate, body temperature, and pulse oximetry, this smart helmet integrates a large number of sensors. These sensors gather data continually, and a microcontroller or single-board computer (such as the Raspberry Pi or ESP32) embedded with edge Al algorithms processes the data in real-time. In order to provide instant situational awareness, sophisticated machine learning algorithms examine the data and identity anomalies including overheating, exhaustion, hypoxia, gas leaks, falls, or unresponsive medical problems. Through a variety of communication channels, the system can automatically produce notifications once a risk has been identified. To stop cascading mishaps, alerts can be sent by SMS or app to supervisors or safety officers, audio-visual indications (like as buzzers or flashing LEDs on the helmet), or direct orders to stop neighboring equipment. In the event of an emergency, the GPS module on the helmet will send the worker's location. The smart helmet operates by an integrated solar panel and rechargeable battery pack, allowing for continuous operation without dependency on the grid and ensuring the system's sustainability and usability in distant or under-resourced settings. In industrial areas with poor connectivity, it makes use of low-power wide-area network (LPWAN) protocols like LoRa or Zigbee to guarantee long-distance data transfer. Furthermore, the majority of data processing may be done locally when edge computing is used, which reduces latency and bandwidth consumption and makes threat detection quicker and more precise."
Disclaimer: Curated by HT Syndication.
