Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a Real-Time Remote Collaboration Platform for Manufacturing Operations
  1. case
  2. Development of a Real-Time Remote Collaboration Platform for Manufacturing Operations

Development of a Real-Time Remote Collaboration Platform for Manufacturing Operations

osedea.com
Manufacturing

Identifying Challenges in Manufacturing Communication and Troubleshooting

The client faces difficulties in effectively communicating issues between machine operators and engineers during metal parts manufacturing. This results in delays, decreased productivity, and increased error rates due to limited real-time oversight and feedback, especially when troubleshooting complex CNC programs remotely.

About the Client

A mid-to-large scale manufacturing facility specializing in high-precision metal parts production for aerospace applications, seeking to enhance communication and quality control processes.

Goals for Enhancing Manufacturing Efficiency and Remote Collaboration

  • Reduce machine downtime by enabling real-time remote guidance and troubleshooting.
  • Improve communication between on-site machine operators and off-site engineers through integrated audio-visual support.
  • Enhance video feed quality and system responsiveness to support multiple simultaneous high-definition streams without lag or choppiness.
  • Create a scalable platform that can be deployed across multiple manufacturing sites to generate new revenue streams through system resale or licensing.
  • Facilitate seamless, real-time feedback and adjustments during production to maintain schedule and budget adherence.

Core Functional Features for a Real-Time Manufacturing Assistance System

  • Integration of remotely controllable, high-resolution video feeds from multiple camera angles within the manufacturing floor.
  • Real-time audio communication channel supporting instant feedback between engineers and operators.
  • Interactive controls allowing engineers to select and switch between multiple camera views on demand.
  • A dynamic map or layout view of the manufacturing plant indicating active camera feeds and machine status.
  • Secure login and user authentication for different user roles with permission controls.
  • Low-latency streaming architecture capable of supporting multiple concurrent high-definition video streams without lag.
  • Recording and playback functionalities for troubleshooting and process review.

Preferred Technologies for Robust and Secure Manufacturing Collaboration

ReactJS for developing an interactive and responsive web interface
Node.js for backend services and real-time communication infrastructure
Docker for containerization and deployment consistency
Optimized video streaming protocols with low latency for high-definition feeds

Essential System Integrations for Seamless Operations

  • Manufacturing execution system (MES) or machine control systems for real-time data exchange
  • Authentication systems for secure user access
  • Potential integration with existing plant layout software for contextual awareness

Key Performance and Security Standards

  • Support for at least 10 concurrent high-definition video streams with minimal latency (<200ms delay)
  • System uptime of 99.9% with robust failover mechanisms
  • End-to-end encryption of video and audio feeds to ensure data security
  • Scalable architecture to support future expansion to additional plants and increased user load

Projected Business Benefits from Implementing the Remote Assistance Platform

The deployment of this real-time remote collaboration system is expected to significantly decrease machine downtime, improve troubleshooting efficiency, and enhance overall production quality. Based on previous similar implementations, anticipated reductions in downtime could range from 30% to 50%, leading to faster throughput and reduced operational costs. Additionally, the scalable platform could enable the organization to monetize the system by offering it to other manufacturing facilities, creating a new revenue stream.

More from this Company

Development of an Interactive Emotional Learning Platform for Elementary Education
Development of a Real-Time Fleet Management and Stakeholder Communication Platform for School Transportation
Modernizing Solvent Extraction Simulation Platform for Enhanced Mining Operations
Development of an AI-Enabled Clinical Workflow Automation Platform for Mental Health Practitioners
Modernization of Legacy Pension Management System with Automated Data Handling and Enhanced User Interfaces