Case Study Manufacturing

Innovating Worker Safety With A.I. & IoT For A Textile Manufacturer

*Disclaimer : This organization’s identity is secured by our non-disclosure agreement which requires us to keep the client’s name confidential. 

65%

Increase in Downloads

73%

Improvement in User Engagement

31%

Increase in Customer Retention

57%

Increase in Average Revenue Per Patient

Horizon Homes is a software company that focuses on improving communication, engagement, productivity and security within provides an innovative communications

iOS App
Android App

Overview

Mobile apps are quickly becoming an indispensable part of the dynamic manufacturing sector. From new ways to enhance productivity and quality control to increasing process efficiency and employee safety, mobile apps are allowing manufacturing enterprises to transition towards greater automation and digitization.

Our client, a mid-sized textile company recognized their need to evolve beyond traditional safety protocols & practices. They were exploring modern, tech-assisted solutions to ensure infallible security for their employees.

Industry

Manufacturing Company - textile

Technologies Utilized

AI & Machine Learning integration, IoT app development

The Challenge

Even with strict security standards in place, employees were working with several potential hazards that had led to injuries. With powerful machines, transport vehicles, and chemicals a routine part of the workplace, our client demanded tighter control on worker safety to minimize hazards and accidents.

The client’s facility consists of multiple facilities including the weaving, dyeing & finishing, raw material storage, cafeteria, warehouse, maintenance, admin office, maintenance, and break areas. Existing safety controls & practices were dependent on human oversight, and had already led to errors, distractions, and fatigue in supervisors. The repercussions of an accident could lead to hefty fines, tainted company image, potential lawsuits, or all of the above.

Our Solutions

The Team

Our team was confronted by some of the most complex challenges, with the safety of employees in a hazardous environment on the line. Two project managers, one designer, and four developers were assigned to the project.

Ideation, Research & Planning

After conducting in-depth research and consultancy sessions with the client, Crownsoft’s project team identified that the ideal solutions would be integrating AI-powered camera technology and IoT alarm systems with a progressive web app (PWA) developed with React Native for web. Manufacturers of both devices were chosen based on the availability and capabilities of their APIs to integrate with the PWA. 

Progressive Web Application

A custom progressive web application was developed with React for web. The AI camera feeds and IoT alarm systems were integrated with the PWA using their respective API and SDK, allowing the devices to send out notifications, process video feeds, and analyze IoT alarm data.

The PWA dashboard was set up to monitor camera video feeds, status of IoT alarms, view logs, and control AI cameras & alarms. The web application was embedded with WebSockets for real time updates, and Firebase Cloud Messaging to deliver push notifications to team members.

The Crownsoft design team created a simplified UI for the PWA dashboard focused on features including user access & authorization, alarm control, camera adjustments, log reports, and status indicators. Alert systems were also built into the PWA to notify admins and supervisors of any triggered alarms and provide updates of system issues using in-app alerts.

AI Cameras Synced With PWA

Collaborating with the Crownsoft team, the textile company deployed AI cameras across the entire facility to monitor on-site activities. Video streaming from the AI cameras to the PWA was accomplished using real-time streaming protocol (RTSP), integrated with RTSP simple server API. The Crownsoft team deployed an on-site Backend server to manage devices, process data, and handle events. 

IoT Alarm System

The last piece of the puzzle was the deployment of an IoT integrated alarm system, powered by the HTTPS protocol to avoid development complexity. The system was connected with the web app dashboard for real time safety and environmental condition monitoring. The backend for the IoT alarm system was developed with Python. Since the alarms communicate over HTTPS, endpoints were set up to interact with all devices. 

Utilizing IoT sensor technology and AI cameras the alarm systems continuously monitor and transmit data to the web application notifying supervisors about potential threats and events. Equipped with fire alarms, early warning alerts, and instant notifications, the IoT based security system was designed to immediately trigger alarms in case of a potential incident.

Tools We Used

Figma
React Native

Conclusion

Crownsoft was privileged to have partnered for this project, which turned out to be a resounding success. Our esteemed client managed to successfully engage over 10,000 new customers, while improving the Page Speed scores for their new eCommerce website. It was also one of Crownsoft’s earliest projects, accomplished with a 100% satisfaction score. Our collaboration with the client continues to this day for consistent security, design and feature updates. 

Testimonials

After experiencing major issues with our previous smartphone app, we were delighted by the design expertise from Crownsoft. We want to thank the entire Crownsoft team for their excellent focus on our services and vision for the application, special thanks to our project manager Jason who assisted us from the get go, and was always available for our feedback. All of the designer’s concepts were remarkable, there was no delay and the design was delivered in 43 days as scheduled. Our post launch survey has highlighted the design as a top factor that our patients love, thank you from the entire Connect Doc team.

Head of Digital Transformation

Couture Corner Company.

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