Smart IoT Safety Harness

Through the integration of Raspberry Pi and specialized sensors, I developed a pioneering safety harness system capable of predicting key fall-related data, including height, speed, and hook integrity. To bolster workplace safety, an alert mechanism was implemented, instantly notifying ground managers of any falls or workers in elevated positions. Complementing this, a user-friendly React.js dashboard was crafted, providing real-time monitoring and visualization of crucial metrics. This comprehensive system aims to revolutionize safety protocols, ensuring swift responses and proactive measures in hazardous scenarios.

(Detailed interfaces and circuit digram cannot be shown as of now, as we are filling this project for a patent)

Project Overview

The project involved creating a cutting-edge safety harness system integrating Raspberry Pi and specialized sensors. Its primary goal was to predict critical fall-related metrics—such as height, speed, and hook integrity—in real-time. The initiative aimed to revolutionize workplace safety measures by introducing proactive solutions.

The Product

The resultant product is an innovative safety harness system equipped with predictive capabilities. It includes an alert mechanism to promptly inform ground managers about falls or workers in elevated positions. Additionally, a user-friendly React.js dashboard was developed for monitoring and visualizing crucial data, ensuring immediate responses to potential risks.

Project Duration

2 years

The Problem

Workplace safety, especially concerning fall-related incidents, posed a significant challenge. There was a lack of efficient systems to predict and prevent potential accidents in real-time. This gap in safety measures heightened the risk for workers in elevated positions.

The Goal

The primary goal was to develop an intelligent safety harness system capable of predicting fall-related data, including height, speed, and hook integrity, instantly. Additionally, the aim was to integrate an alert mechanism that would notify ground managers promptly in case of falls or when workers were exposed to significant heights. Ultimately, the objective was to revolutionize workplace safety by providing timely insights and proactive measures to prevent accidents and enhance overall safety protocols.

User research: summary
 

Key Takeaways:
1. Predictive Capabilities: Users appreciated the system's ability to predict critical fall-related data (height, speed, hook integrity) in advance, enhancing preparedness and preventing potential accidents.

2. Immediate Alert System: The instant notification feature for ground managers in case of falls or workers in elevated positions was highly valued, enabling rapid responses to critical situations.

3.Intuitive Dashboard: Users favored the user-friendly React.js dashboard for its real-time monitoring and visualization capabilities, providing a clear and accessible overview of crucial safety metrics.

4.Safety Enhancement: Respondents showed enthusiasm for the system's potential to revolutionize safety protocols in hazardous scenarios, appreciating the focus on proactive measures and quick responses

User research: pain points
 

User Personas

User Journey Maps

High Level Flow

Initial Version

Usability study: findings
 

Ease of Use: Users found the Safety IoT Harness relatively easy to wear and operate, with intuitive controls and clear instructions for activation.

Effectiveness in Real-time Monitoring: The harness was effective in providing real-time monitoring and alerts, accurately detecting potential safety hazards such as falls or excessive movement.

Comfort and Wearability: Mixed feedback on comfort; some users found the harness comfortable to wear throughout the workday, while others reported minor discomfort, especially during physically demanding tasks.

Takeaways

Inclusive Design Matters: Prioritizing inclusive design principles from the project's inception ensures that the Safety IoT Harness caters to users with diverse abilities, fostering a more accessible and user-friendly product.
User-Centric Approach: Conducting user research and involving individuals with disabilities throughout the development process provides valuable insights, allowing the project team to address specific needs and challenges faced by these users.
Accessibility Testing is Essential: Regular and comprehensive accessibility testing is crucial to identify and rectify potential barriers, ensuring that the Safety IoT Harness meets the needs of users with various disabilities.