Case Study

Automation Using Computer Vision for Manufacturing Automation Automated Testing System Computer Vision Railway Sleeper Beds Railway Track Testing Database Management Efficiency Improvement Quality Control Overview A manufacturing giant in India producing railway tracks needed to automate their testing process to enhance quality and efficiency. The manual testing of railway tracks was time-consuming and prone to human error. The developed solution involved using computer vision to automate the testing process, significantly reducing testing time and improving accuracy. Problem 1. The manual testing process for railway tracks was time-consuming, taking up to 10 minutes per track, and involved thousands of tracks daily. 2. The manual process was prone to human error, affecting the quality and reliability of the railway tracks. 3. There was a need for a centralized system to store and access the details of each railway track for future reference. 4. The solution needed to work effectively in the specific environment and conditions of the manufacturing plant. Key Requirements Development of a solution to automate the testing process. Accurate detection of the radius of holes in the railway tracks. Reduction of testing time by 10x. Creation of a database to store the details of each railway track. Ensuring the solution works in the specific manufacturing environment. About the Technology Used The project involved a combination of hardware and software components. A grid of cameras was used to capture images of the railway tracks, and computer vision algorithms were applied to detect the holes and measure their radii accurately. The solution was calibrated for initial use, and the details of each railway track were stored in a database accessible via a dashboard. Solutions Automated Railway Track Testing System: Implemented a grid of cameras to capture images of the railway tracks and applied computer vision algorithms to detect the holes and measure their radii accurately. Calibration of Railway Track Testing System: Calibrated the system for first-time usage and ensured it worked effectively in the specific manufacturing environment. Database Setup and Management: Developed a database to store details of each railway track, enabling future reference and analysis. Dashboard Setup and Management: Created a dashboard for real-time monitoring and management of the testing process. Result Reduced Testing Time: Automated testing reduced the testing time by 90%, from 10 minutes to 1 minute per track. Improved Accuracy: Enhanced accuracy in detecting and measuring hole radii, reducing errors by 85%. Centralized Data Management: The database and dashboard provided a centralized system for storing and accessing railway track details, improving organization and efficiency. Enhanced Quality Control: The automated system identified defective holes, allowing for timely fixing or re-boring, improving the overall quality of the railway tracks. Revolutionizing the Quality and Efficiency of Railway Track Analysis Current Status The automated railway track testing system is fully operational, significantly improving the quality and efficiency of track analysis. The system has been installed at the manufacturing plant, with proper lighting conditions, easy usability, and network access. The solution has reduced testing time, improved accuracy, and provided a centralized data management system. POWERED BY

Sculpture for Capturing and Sharing Photos Responsive Website Interactive Sculpture Public Photography Real-Time Photo Sharing QR Code Integration Azure C# Development React.js Web App MERN Admin Interface User Experience Data Security Overview “Look@” is an innovative SaaS product designed to enhance the photography experience in public spaces. This interactive sculpture is equipped with advanced technology that enables individuals to take photos and have them instantly emailed to their desired email IDs. The project aims to create an engaging and aesthetically appealing sculpture that offers a seamless user experience, leveraging QR code scanning and advanced imaging capabilities. Problem Lack of Engagement: Traditional photography methods in public spaces often fail to engage users interactively. Technical Barriers: Users need an easy way to capture and share photos without requiring technical skills Data Privacy and Security: Ensuring the security of users’ personal information and photos is critical. Durability and Maintenance: The sculpture app must be robust and easy to maintain. Key Requirements Sculpture App Interface: The design should be visually captivating and complement the public space. User Experience: An intuitive, user-friendly interface for all ages and technical backgrounds. Camera Integration: Integrated with cameras to apply necessary filters and process the image. QR Code Technology: Seamless QR code scanning to initiate the photo-taking process. Email Delivery System: Reliable and secure email delivery of photos to users. Data Privacy and Security: Robust security measures to protect user data. Maintenance and Support: Efficient system for regular maintenance and support. Online Payments and Subscriptions: Payments should be accepted online with support and regulations of each geographic location. Our Solution Backend Development (.NET): The backend is developed using the .NET framework, offering robustness, security, and scalability. Manages user authentication, photo storage, and orchestrates data flow between components. Web App Development (React.js): The primary interface through which users interact with the “look@” sculpture. Developed using React.js for an intuitive and user-friendly experience. Facilitates QR code scanning, live camera feed display, and photo preview/approval. Admin Interface Development (MERN): Built using the MERN stack to manage and monitor the “look@” sculpture efficiently. MongoDB for data storage, Express.js for server-side logic, Node.js for runtime environment, and React.js for the admin front end. Enables real-time data access, usage statistics monitoring, and maintenance tasks. Key Features and Functionality QR Code Scanning: Prominently displayed QR code initiates the photo-taking process upon scanning. Camera Integration: High-quality camera with a live feed display on the web app for accurate photo capture. User Authentication: Simple mechanism for users to provide their email addresses securely. Photo Preview and Approval: Users can preview and approve photos before email delivery. Email Delivery: A secure and reliable email service to send photos to users’ specified email addresses. Data Privacy and Security: Encrypted storage of user data in MongoDB with robust access controls. Maintenance and Support: The admin interface provides tools for monitoring performance, updates, and technical support. Responsive Design: The web app and admin interface are compatible across various devices and screen sizes. Design Process This project involved teamwork between UI and UX designers to create an innovative solution. Our business and growth team stayed in constant communication, providing valuable insights throughout the process. Innovative Public Photography Experience with Real-Time Photo Sharing Results Enhanced Engagement: Interactive sculpture increased user engagement by 60%. 0 % Technical Accessibility: User-friendly interface allowed users of all ages to capture and share photos easily. Data Security: Implemented robust security measures to protect user data, ensuring 100% data privacy compliance. 0 % Maintenance Efficiency: Admin interface streamlined maintenance tasks, reducing downtime by 40%. 0 % Current Status The “look@” project has successfully transformed the public photography experience, attracting numerous users and providing a memorable way to capture and share moments. The integration of advanced imaging technology and user-friendly interfaces has made “look@” a popular installation in public spaces, enhancing the overall environment and user engagement. Ongoing support and potential upgrades will continue to improve its functionality and appeal. Tech Stack POWERED BY

Dashboard to Success HR Tech Overview Our client, a mid-sized organization with multiple departments and employees, faced significant challenges in managing their HR processes efficiently. They relied on a manual system that was time-consuming and error-prone, causing delays and inaccuracies in payroll processing, attendance tracking, appraisal management, and leave management. They needed a comprehensive HRMS solution to automate their HR operations, improve accuracy, and save time. Problems 1. Inaccurate Payroll Processing: Manual calculations resulted in frequent errors and delays. 2. Inefficient Attendance Tracking: Manual systems were cumbersome and prone to mistakes. 3. Complex Appraisal Management: Tracking performance reviews manually was inefficient. 4. Cumbersome Leave Management: Approving and tracking leave manually caused delays. 5. Data Inaccuracy: Manual data entry led to inconsistencies and errors. 6. Time-Consuming Processes: HR staff spent excessive time on administrative tasks. Key Requirements 1. Scalable and Flexible: Adaptable to the client’s growing needs. 2. AI Integration: Automatic document filler AI to reduce manual data entry. 3. User-Friendly Interface: Easy to navigate and use. 4. Secure Access Control: Protect sensitive HR data. 5. Accurate HR Data Management: Reliable and consistent data handling. 6. Comprehensive Reporting and Analytics: Insights into HR operations. 7. Efficient Payroll Management: Streamlined and accurate payroll processing. Solutions 1. Payroll Management: Automated payroll calculations and processing. 2. Attendance Tracking: Digital attendance tracking with real-time updates. 2. Appraisal Management: Streamlined performance review process. 4. Timesheet Management: Automated tracking and management of employee timesheets. 5. Leave Management: Simplified leave request and approval process. 6. Agreements Management: Digital handling of HR agreements and documents. Design Process This project involved teamwork between UI and UX designers to create an innovative solution. Our business and growth team stayed in constant communication, providing valuable insights throughout the process. Results Our AI-powered HRM solution delivered a comprehensive and efficient HR management system that automated the client’s HR processes, reduced errors, and saved time. Key outcomes included: Improved Accuracy: Enhanced reliability of HR data. Increased Efficiency: Streamlined payroll processing and leave management. Enhanced Compliance: Better adherence to labor regulations. Improved Engagement: Higher employee satisfaction and engagement. Reduced Administrative Burden: Freed up HR staff for more strategic tasks. Scalability: Solution that grows with the client’s business needs. Driving HR Forward with Data Tech Stack Current Status Our comprehensive HRM solution provided the client with a robust platform to manage their HR operations efficiently. By automating key processes and integrating AI technology, we significantly improved data accuracy, operational efficiency, and employee satisfaction. This scalable solution not only meets current needs but also adapts to future growth and changes. POWERED BY

Retail Video Analytics System Retail Edge Computing Video Analytics Footfall Analytics Python TensorFlow Dwell Time AI Dwell Zone Nvidia Overview Brick and mortar stores often face significant challenges in understanding customer behavior, preferences, and needs. Limited to manual observations, they struggle to gather comprehensive data on customer interactions within the store. This lack of insight leads to missed opportunities in optimizing store layout, product placement, and overall customer experience, ultimately impacting customer loyalty and revenue. The Customer Insight Platform addresses these challenges by leveraging AI on Edge technology and CCTV cameras to provide real-time customer insights, enhancing the store’s ability to make data-driven decisions. Problem Brick and mortar stores need a robust method to accurately track and analyze customer behavior to: Understand Customer Traffic: Identify peak hours and traffic patterns to better allocate staff and resources. Optimize Layout and Product Placement: Determine which areas of the store attract the most attention and which are frequently ignored. Enhance Customer Engagement: Analyze the time customers spend in different areas to improve engagement strategies. Increase Revenue: Use data-driven insights to boost customer loyalty and sales through optimized store experiences. Key Requirements AI on Edge: Utilize AI on Edge technology for real-time data processing without relying on cloud connectivity, ensuring quick and efficient insights. Footfall Analysis: Accurately count customer entries and exits, identify peak traffic times, and understand overall traffic patterns. Heatmap Generation: Create visual heatmaps to highlight the most visited areas within the store, aiding in strategic product placement and layout optimization. Path Tracking: Monitor and visualize customer movement to identify preferred paths and areas often overlooked. Dwell Time Analysis: Measure the amount of time customers spend in various sections to refine layout and product display strategies. AI Computer Vision Artificial intelligence (AI) trains computers to interpret and understand the visual world. By using digital images from cameras and videos as well as deep learning models, computers can accurately identify and classify objects and then react to what they “see” in a manner defined by their programming. This technology combines machine learning and pattern recognition to mimic the way the human vision system works, but with the ability to process and analyze data at a scale and speed that humans cannot match. Our Solution Result AI on Edge Implementation: Nyx Wolves deployed edge devices equipped with AI algorithms to process CCTV footage locally, ensuring quick and efficient data processing without the need for cloud connectivity. Footfall Analysis: The platform accurately tracks the number of customers entering and exiting the store, providing valuable insights into peak hours and traffic patterns. Heatmap Generation: AI algorithms analyze the footage to create heatmaps, revealing the most frequented areas and enabling stores to optimize product placement and layout. Path Tracking: The platform tracks customer movement within the store, providing a visual representation of paths taken by customers, helping stores understand preferred and avoided areas. Dwell Time Analysis: Detailed analysis of dwell times in different areas helps stores refine their layout and product placement to enhance customer engagement and boost sales. Leveraging AI for Smarter Retail Insights Results The implementation of the Customer Insight Platform has led to significant improvements for brick and mortar stores, including: Enhanced Understanding of Customer Behavior: Stores now have a clear view of customer preferences and movement patterns. Optimized Store Layouts: Data-driven insights have allowed stores to redesign their layouts to better engage customers. Enhanced Understanding of Customer Behavior: Stores now have a clear view of customer preferences and movement patterns. Optimized Store Layouts: Data-driven insights have allowed stores to redesign their layouts to better engage customers. Increased Customer Engagement and Loyalty: Improved product placement and layout have led to higher customer satisfaction and repeat visits. Boosted Revenue: The ability to make informed decisions has resulted in increased sales and a significant return on investment. By leveraging AI on Edge technology, the Customer Insight Platform has transformed how brick and mortar stores operate, providing them with the tools needed to thrive in a competitive retail environment. Tech Stack POWERED BY

WeeW Foundation is an NGO Trust dedicated to empowering youth and citizens through education and community engagement. The foundation operates under the “We-care” concept, aiming to harness the power of the youth to drive national development. However, WeeW faced significant challenges in digital engagement and community management, which hindered their ability to effectively communicate their mission and manage memberships. TECH STACK CLIENT WeeW SERVICE PROVIDED Application Design, Application Development WeeW is a user-friendly digital platform Empowering NGOs to manage memberships, streamline payments, and engage communities effectively. Laravel LMS AWS CMS Education The Challenges Digital Presence and Community Engagement: WeeW Foundation struggled to establish a digital platform to amplify their voice and effectively gather community members. The absence of a robust online presence hindered their ability to connect with and mobilize their audience. Membership Management: Managing memberships and payments manually through Excel sheets was inefficient and error-prone. This outdated method posed significant challenges in tracking and organizing member information and payments accurately. Key Requirements Create a digital platform for managing memberships and applications. Include a custom Content Management System (CMS) to streamline content management. Enable online payment processing for membership fees. Enhance their digital brand presence to better connect with the community. Our Solution Digital Platform Development Nyx Wolves developed a user-friendly portal for WeeW Foundation to manage memberships and applications. This platform included features to handle member registrations, profiles, and interactions efficiently. Custom CMS We built a custom CMS using Laravel, allowing WeeW Foundation to easily update and manage website content. This system ensured that all sections of the site were editable, providing flexibility and control over their digital presence. Payment Integration The platform was equipped with a secure payment gateway, enabling seamless online payments for membership fees. This feature streamlined financial transactions and improved the accuracy of membership tracking. Optimized User Experience The website was designed for optimal viewing across various devices, ensuring an engaging and accessible user experience for all visitors. Easy navigation and a visually appealing interface helped attract and retain members. Where Efficiency Meets Impact. WeeW Foundation’s platform makes managing memberships and content a breeze. Create connections that matter while focusing on what counts—building a better future. Simplify the way you organize member information and streamline payment processes with our all-in-one digital solution. The platform empowers NGOs to efficiently manage registrations, track member activity, and update content effortlessly using a custom CMS. Development Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Seamless Management, Limitless Impact. Where Every Action Drives a Better Tomorrow. With WeeW, every connection matters. Simplify membership management, streamline operations, and focus on empowering your community. Transform challenges into opportunities and let WeeW guide your journey toward impactful change. Learn more Seamless systems for stronger connections Results The WeeW Foundation’s web portal is now a dynamic platform that effectively posts necessary content and attracts new members, streamlining the registration and engagement process. Partners 0 + Courses W/ 0 + Students helped 0 + AWS services used Amazon EC2 To run the web application and ensure high availability and performance. Amazon S3 To store the video repository of interviewed and screened candidates, ensuring high availability and durability. Amazon S3 To store the video repository of interviewed and screened candidates, ensuring high availability and durability. Amazon Cloudfront To distribute the web application to users with low latency and high throughput. Route 53 Managing the domains Amazon SES Send transactional emails reliably and cost-effectively to users for various notifications. Amazon API Gateway Create and manage APIs to connect platform components securely and efficiently. Amazon Lambda Execute serverless compute tasks for seamless order processing and push notification delivery. WeeW. Powered by Nyx Wolves