MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061615 A) filed by Dr. Thummala Venkatamuni; Ramanujam. K; Vishal Kumar S; Nedunchelian P; Dharaneesh R; and Rejin Jose R, Karur, Tamil Nadu, on May 14, for 'ai and iot-enabled industrial hazard detection and autonomous safety management system.'
Inventor(s) include Dr. Thummala Venkatamuni; Ramanujam. K; Vishal Kumar S; Nedunchelian P; Dharaneesh R; and Rejin Jose R.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an Artificial Intelligence (AI) and Internet of Things (IoT)-enabled industrial hazard detection and autonomous safety management system configured to provide real-time industrial monitoring, predictive hazard analysis, worker safety supervision, and automated emergency response management for hazardous industrial environments. The system comprises distributed IoT sensor networks including gas sensors, smoke detectors, thermal sensors, vibration sensors, electrical monitoring units, and structural sensing devices configured to continuously monitor environmental and operational conditions within industrial facilities. The collected sensor data is processed through edge computing gateways and analyzed using AI-based machine learning algorithms for identifying hazardous conditions including toxic gas leakage, fire outbreaks, overheating, structural instability, machinery malfunction, and worker distress situations. The invention further comprises wearable IoT-enabled worker safety devices configured for biometric monitoring and real-time personnel localization within hazardous industrial zones. Upon detection of abnormal conditions, an autonomous emergency response controller activates alarms, ventilation systems, fire suppression mechanisms, machine shutdown units, emergency lighting systems, and evacuation guidance operations. The system additionally incorporates cloud-based analytics platforms for centralized industrial safety monitoring, predictive maintenance analysis, incident reporting, and remote supervisory management. The invention further supports secure industrial communication through Wi-Fi, BLE, Zigbee, LoRaWAN, MQTT, Ethernet, and 5G communication protocols integrated with cybersecurity mechanisms including encryption, intrusion detection, and blockchain-based incident logging. The disclosed invention improves workplace safety, reduces industrial accidents, minimizes operational downtime, enhances predictive maintenance efficiency, and enables intelligent Industry 4.0-based autonomous industrial safety management."
Disclaimer: Curated by HT Syndication.
