Sign In to Follow Application
View All Documents & Correspondence

Ai Infused Worker Safety Monitoring Kit

Abstract: The AI-Infused Worker Safety Monitoring Kit is a cutting-edge wearable designed to safeguard workers in high-risk environments like construction sites and elevated areas. Equipped with advanced sensors, it monitors vital health parameters such as heart rate, SpO₂ levels, and fatigue, alongside environmental factors like air quality, temperature, and humidity. The kit features a fall detection mechanism using accelerometers and gyroscopes to identify dangerous movements or postures. In case of abnormalities in health, environment, or falls, it triggers immediate alerts via buzzer and vibration to the worker, while sending real-time notifications to supervisors through wireless communication. A central controller processes data, ensuring timely risk detection, while the communication module enables remote monitoring via mobile or desktop applications. Powered by a rechargeable battery, the ergonomic, durable kit enhances workplace safety by minimizing accidents and enabling rapid emergency response, making it indispensable for hazardous professions.

Get Free WhatsApp Updates!
Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
30 November 2024
Publication Number
50/2024
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
Parent Application

Applicants

K S Rangasamy College of Technology
K.S.RANGASAMY COLLEGE OF TECHNOLOGY (Autonomous), K.S.R. KALVI NAGAR, TIRUCHENGODE, NAMAKKAL, TAMILNADU - 637 215.

Inventors

1. Dr.S.Sarumathi
Professor Artificial Intelligence and Data Science K S Rangasamy College of Technology
2. Dr.E.Mohanraj
Professor and Head Artificial Intelligence and Data Science K S Rangasamy College of Technology
3. Dr.C.Rajan
Professor and Head Artificial Intelligence and Data Science K S Rangasamy College of Technology
4. Dr.S.Malarkhodi
Professor Electrtonics and Communication Engineering K S Rangasamy College of Technology
5. Ms. S.S.Subithra
Artificial Intelligence and Data Science K S Rangasamy College of Technology
6. Mr. D.Deepak
Artificial Intelligence and Data Science K S Rangasamy College of Technology
7. Mrs.R.Logapriya
Assistant Professor Computer Science and Business Systems K S Rangasamy College of Technology

Specification

Description:The AI INFUSED WORKER SAFETY MONITORING KIT is an innovative,
IoT-based safety system designed to monitor the health, environmental
conditions, and detect falls in workers operating at elevated heights. The system
consists of several key modules integrated into a wearable kit that ensures
continuous monitoring, risk detection, and prompt alerts. The kit aims to improve
workplace safety, reduce accidents, and provide real-time data to supervisors for
immediate intervention.
Components of the Kit
• Health Monitoring Module:
o Heart Rate Sensor: Measures the worker’s pulse rate to detect any
abnormalities that could indicate physical stress or health issues.
o SpO₂ Sensor: Monitors the oxygen saturation level in the blood,
helping to detect any signs of hypoxia or respiratory issues.
o Fatigue Monitoring: Measures the worker’s fatigue level by
analysing heart rate variability, ensuring they do not exceed safe
levels of fatigue that could increase the risk of accidents.
• Environmental Monitoring Module:
o Air Quality Sensor: Measures levels of pollutants, gases (like CO2),
or other harmful particles in the air that could pose health risks to
the worker.
o Temperature Sensor: Detects extreme temperatures, ensuring the
worker is not exposed to heatstroke or hypothermia.
o Humidity Sensor: Monitors the moisture level in the environment,
which is critical for preventing issues such as heat exhaustion or
dehydration.
• Fall Detection System:
o Gyroscope: Detects changes in the worker's orientation, identifying
if they fall or are in an unsafe position.
o Accelerometer: Monitors the speed and direction of movement,
helping to detect falls or sudden impacts.
• Central Controller:
o Microcontroller/Processor: Acts as the brain of the system. It
receives and processes data from the health, environmental, and fall
detection modules. The controller determines if an alert needs to be
triggered based on preset thresholds (e.g., abnormal health readings,
environmental hazards, or falls).
o Alert Decision Logic: Defines the rules and conditions for alert
triggers. If a risk is identified, it activates the appropriate alert
mechanisms.
• Alert Mechanism:
o Buzzer: Emits a loud sound to alert the worker immediately about
any critical issue detected, such as abnormal health vitals or unsafe
environmental conditions.
o Vibration Motor: Provides haptic feedback (vibration) to alert the
worker about potential danger.
• Communication Module:
o Wireless Transmitter: Allows the kit to send data and alerts
wirelessly to supervisors through a mobile or desktop application.
This ensures real-time monitoring of the worker’s safety status.
o Cloud Integration: Stores and transmits data securely, enabling
supervisors to track safety metrics remotely.
• Power Management System:
o Rechargeable Battery: Powers all the components of the monitoring
kit, ensuring it works without interruptions.
o Low Power Alerts: Notifies when the battery charge is low to ensure
the kit remains functional at all times.
• Mobile/Desktop Application Interface:
o User Interface: Supervisors can access this interface to monitor the
worker’s health, environmental conditions, and fall risk in real-time.
o Configuration Options: Supervisors can set threshold limits for
health parameters (e.g., heart rate or SpO₂ levels), environmental
conditions (e.g., temperature or humidity), and fall detection
sensitivity.
• Process and Working of the Kit
▪ The AI-Infused Worker Safety Monitoring Kit operates
through a continuous process of data collection, analysis,
alerting, and reporting. Here's how it works:
• Continuous Data Collection:
o The Health Monitoring Module constantly collects data on the
worker’s heart rate, SpO₂ levels, and fatigue levels, ensuring that
any abnormalities in the worker's physical state are detected in real
time.
o The Environmental Monitoring Module continuously measures the
air quality, temperature, and humidity around the worker. This is
crucial in ensuring that the worker is not exposed to hazardous
environmental conditions.
o The Fall Detection System monitors the worker’s movements, using
gyroscopes and accelerometers to detect sudden falls or dangerous
postures.
• Data Processing:
o All data collected by the sensors is sent to the Central Controller for
processing. The controller analyzes this data in real-time using builtin algorithms.
o If any of the monitored parameters exceed preset thresholds (e.g., a
rapid increase in heart rate, low SpO₂ levels, extreme temperatures,
or a detected fall), the controller determines that an alert is
necessary.
• Alert Mechanism Activation:
o Once a risk or abnormality is detected, the Central Controller
triggers the Alert Mechanism. The worker will receive an immediate
local alert through the Buzzer and Vibration Motor, which notifies
them of the safety concern.
o Simultaneously, the Communication Module sends a real-time alert
to the supervisor through the Mobile/Desktop Application Interface,
allowing them to take action quickly.
• Real-Time Communication and Monitoring:
o The Communication Module transmits all collected data and alert
notifications to the supervisor’s mobile or desktop application,
ensuring that supervisors are constantly updated on the worker’s
status.
o Supervisors can also access the worker's health and environmental
data remotely via a cloud-based platform, ensuring that they are
aware of any risks even if they are not on-site.
• Power Management:
o The system is powered by a Rechargeable Battery, which ensures
the kit runs continuously without the need for frequent recharging.
o The Power Management System monitors battery levels and sends
low-power alerts when the battery reaches a critical level,
preventing any power failure during operation.
How It Works in Real-World Scenarios:
• Pre-Operational Setup: The worker wears the AI-Infused Worker Safety
Monitoring Kit at the start of their shift. The system continuously collects
and processes data from the sensors throughout the day.
• Health Monitoring: If the worker experiences signs of fatigue, a rapid
increase in heart rate, or a drop in SpO₂ levels, the system will send alerts
to both the worker (via the buzzer and vibration motor) and the supervisor
(via the communication module).
• Environmental Hazards: If the system detects hazardous environmental
conditions, such as high temperatures or poor air quality, it will trigger
similar alerts, ensuring that the worker is made aware of potential dangers.
• Fall Detection: If the worker falls or assumes a dangerous posture, the fall
detection system will immediately notify the worker and the supervisor,
prompting quick response and intervention.
• Supervisory Monitoring: Supervisors can monitor the worker’s status via
the mobile or desktop interface, allowing them to take immediate action if
necessary (e.g., sending help or taking corrective actions).
• Energy Management: The system ensures that the kit runs efficiently
throughout the worker's shift, with the Power Management System
handling battery life and alerting when recharging is required , Claims:1. A worker safety monitoring kit comprising:
a health monitoring module for measuring vital signs including heart rate and SpO2 levels,
an environmental monitoring module equipped with sensors for air quality, temperature, and
humidity,
a fall detection system for identifying falls or abnormal postures,
a communication module for transmitting real-time data and alerts,
and a central controller for processing sensor data and managing operations.
2. The worker safety monitoring kit as specified in claim 1, wherein the health monitoring
module triggers alerts based on anomalies in vital signs to notify supervisors or
emergency contacts.
3. The worker safety monitoring kit as specified in claim 1, wherein the environmental
monitoring module activates alerts if air quality, temperature, or humidity exceed
predefined thresholds.
4. The worker safety monitoring kit as specified in claim 1, wherein the fall detection
system utilizes gyroscopic and accelerometer sensors to detect sudden movements
indicative of falls or instability.
5. The worker safety monitoring kit as specified in claim 1, wherein the communication
module supports wireless connectivity to transmit real-time data and alerts to remote
devices via mobile or desktop applications.
6. The worker safety monitoring kit as specified in claim 1, wherein the central controller
allows user configuration for adjusting sensitivity levels and customizing alert
thresholds based on specific working conditions.
7. The worker safety monitoring kit as specified in claim 1, further comprising an alert
mechanism, including a buzzer and vibration motor, to notify workers locally of
immediate concerns in addition to remote alerts.
8. The worker safety monitoring kit as specified in claim 1, wherein the power
management system includes a rechargeable battery with low-power notifications to
ensure uninterrupted operation.

Documents

Application Documents

# Name Date
1 202441093955-STATEMENT OF UNDERTAKING (FORM 3) [30-11-2024(online)].pdf 2024-11-30
2 202441093955-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-11-2024(online)].pdf 2024-11-30
3 202441093955-FORM-9 [30-11-2024(online)].pdf 2024-11-30
4 202441093955-FORM FOR SMALL ENTITY(FORM-28) [30-11-2024(online)].pdf 2024-11-30
5 202441093955-FORM 1 [30-11-2024(online)].pdf 2024-11-30
6 202441093955-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [30-11-2024(online)].pdf 2024-11-30
7 202441093955-EVIDENCE FOR REGISTRATION UNDER SSI [30-11-2024(online)].pdf 2024-11-30
8 202441093955-EDUCATIONAL INSTITUTION(S) [30-11-2024(online)].pdf 2024-11-30
9 202441093955-DRAWINGS [30-11-2024(online)].pdf 2024-11-30
10 202441093955-DECLARATION OF INVENTORSHIP (FORM 5) [30-11-2024(online)].pdf 2024-11-30
11 202441093955-COMPLETE SPECIFICATION [30-11-2024(online)].pdf 2024-11-30