Case Study | Real-Time Covid testing Kit Detection and result extraction Application

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Real-Time Covid testing Kit Detection and result extraction Application

Scan and Stay Safe – Real-Time Covid Test Results on Your Mobile

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Project Overview

Project Name

Real-Time Covid testing Kit Detection and result extraction Application

Industry

Objective

Introduction

Project Introduction

We created a mobile application that can scan a Covid test kit and extract the test results in real-time. We completed the MVP in React for our clients and the app is being developed for consumers to let them automatically upload their results to a Cloud database and get recommendations for the next steps.

Problem

THE Problem

The rise of the Covid-19 pandemic forced many businesses to change their processes to help customers avail their services during the lockdown. One of such businesses, a leading laboratory that provides testing services, also wanted to provide people an express Covid PCR testing and anti-body, antigen testing.

Solution

The Solution

It was important that the results were quick and accurate, and importantly very convenient to use. So we brainstormed some ideas and arrived at the conclusion that a web-based mobile application will be most convenient for the users. This introduced some challenges, but our engineering team designed a robust solution that allowed users to scan their test kit and upload it in one click.

How It Work

Here's how it works

No How It Work available.

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

The platform helps with interview questions and provides specialized tests to assess candidates’ skills.

Facilitates the job offer to negotiation and final onboarding process to its best capabilities

━ Key Features

We used Deep learning and computer vision to identify the kit in a noisy environment. We used Blur detection to make sure the captured image was not blurry. This step involved advanced data augmentation to deal with the limited dataset available.
The next step was to analyze the test result using computer vision, image processing, and OCR. This effectively determined the values for the “C” and “T” variables on the kit.
A QR code printed on each test kit was required to be detected and read. This was done in real-time following the test kit detection and analysis.
The system includes a feature that allows users to track and monitor the results of their COVID-19 tests over time, providing them with a historical record of their test results.
The system is integrated with a centralized database that can be accessed by healthcare professionals and authorities, enabling them to track the spread of COVID-19 and respond quickly to potential outbreaks.

Technologies

Tools & Technologies

Feedback

Client Feedback

Results

Deliverables:

No deliverables available.

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

Benefits:

No benefits available.

The platform reduces the proportion of manual tasks in the recruitment process to a very minimum, thus allowing HR professionals to focus on more strategic work.

CV matching and candidate assessments through AI help the platform avoid human intervention and shorter time-to-hire, and decrease the possibility of hiring the wrong people.

It is extensively cost-effective because, through automation, it eliminates burdensome tasks and thus is able to conduct recruitments at relatively cheap costs

━ Conclusion

Our mobile application that scans Covid test kits and extracts real-time results demonstrated the potential of leveraging technology to improve public health. By automating the process of uploading results to a Cloud database, the app reduces the risk of human error and speeds up the overall testing process. The app’s ability to provide users with recommendations for their next steps is also a valuable feature, helping users take appropriate actions based on their test results. The project highlights the importance of technology in combating the Covid-19 pandemic and its potential to help us adapt to new public health challenges.