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Transforming LED Manufacturing With AI Smart Assistants

AI Smart Assistants revolutionized LED manufacturing with real-time vision, voice-driven workflows, and intelligent automation.

Read Case Study Contact Us
Case study - AI Manufacturing - Faster Iteration

8-10x

Faster Iteration

Case study - AI Manufacturing - Reduced Cost

40-60%

Reduced Cost

Case study - AI Manufacturing - Code Ownership

100%

Code Ownership

Case study - AI Manufacturing - Automation in Workflow

75-85%

Automation in Workflow

Client Overview

A precision-driven manufacturing company specializing in industrial and commercial lighting systems. With a focus on quality, consistency, and operational agility, it sought to modernize its production lines by adopting intelligent automation, real-time monitoring, and computer vision technologies. 

AI manufacturing is a specialized application designed to assist with operations in an LED light manufacturing facility. It aims to streamline various processes, from order creation to production monitoring and palletization.

The Challenges

Building a modern, AI-driven platform for real-time industrial applications. It presented several complex challenges that required innovative engineering and seamless integration.

  • Cloud-Edge Construction:

    Needed seamless cloud-edge orchestration for AI and vision systems (e.g., Jetson Orin NX, YOLOv11).

  • Voice Command Integration:

    Required real-time voice command integration with Elven Labs.

  • Multi-Tenant Architecture:

    Implementing multi-tenancy for various manufacturing units with performance optimization and role-based access.

  • Agile AI Workflow Execution:

    Achieving rapid development cycles across diverse AI workflows.

Case study - AI Manufacturing

Our Solution

To meet the demand for a high-speed, intelligent production platform, AI Manufacturing implemented a modular, AI-powered solution designed for efficiency and real-time performance.

AI-Driven Production Intelligence

An agile sprint model enables rapid development of frontend interfaces, backend microservices, and AI features. The system includes Gemini, a large language model deployed on Google Vertex AI for conversational scheduling and anomaly insights.

Real-Time Edge Processing

YOLOv11 and NVIDIA Jetson Orin NX devices handled on-site visual data for defect detection, cycle counting, and production monitoring, reducing reliance on cloud infrastructure.

Voice-Enabled Workflows

Integrated Google Cloud Speech-to-Text and Text-to-Speech enabled fully voice-driven operations, enhancing speed, accuracy, and hands-free user experience on the factory floor.

The Results

The deployment of AI-powered manufacturing delivered significant advancements in automation, quality control, and production efficiency.

Case study - AI Manufacturing
Case study - AI Manufacturing - Faster Order Processing

Faster Order Processing

Manual order processing time reduced by over 65% through AI-driven PDF parsing, UI analysis, and automated production order generation.

Case study - AI Manufacturing - Improved Defect Detection

Improved Defect Detection

Defect detection accuracy improved by 92% using YOLOv11 on Jetson Orin NX and Coral TPUs, enabling real-time quality control without cloud delays.

Case study - AI Manufacturing - Zero-Touch Operations

Zero-Touch Operations

Over 80% of operator interactions are managed through voice commands using integrated WebRTC and Speech APIs, streamlining shop floor operations.

Case study - AI Manufacturing - Optimized Production Scheduling

Optimized Production Scheduling

AI-powered Gantt charts and bottleneck detection improved production scheduling efficiency by 30%, enhancing overall throughput.

Tech Stack We Used

We combined advanced AI, scalable cloud infrastructure, and real-time technologies to build a high-performance, intelligent platform.

  • Case study - AI Manufacturing -  Google Cloud Platform (GCP)

    Cloud Platform:

    Google Cloud Platform (GCP)
  • Case study - AI Manufacturing - Gen AI kit & Gemini on Vertex AI, YOLOv11 for vision

    AI/LLM:

    Gen AI kit & Gemini on Vertex AI, YOLOv11 for vision
  • Case study - AI Manufacturing -  Next.js, Firebase Hosting, WebRTC for audio input.

    Frontend:

    Next.js, Firebase Hosting, WebRTC for audio input.
  • Case study - AI Manufacturing -  Cloud Run

    Backend:

    Cloud Run
  • Case study - AI Manufacturing - Cloud Speech-to-Text, Text-to-Speech, Dialogflow CX

    Speech Services:

    Cloud Speech-to-Text, Text-to-Speech, Dialogflow CX
  • Case study - AI Manufacturing - Jetson Orin NX, Anthos/GDC, TensorRT

    Edge Integration:

    Jetson Orin NX, Anthos/GDC, TensorRT
  • Case study - AI Manufacturing -  Artifact Registry, Cloud Build, Cloud Monitoring & Logging

    CI/CD and Monitoring:

    Artifact Registry, Cloud Build, Cloud Monitoring & Logging

Conclusion

Success Story

A scalable solution that redefines how factories work and grow.

AI manufacturing successfully transformed Supra Lighting’s traditional production workflow into a next-gen, intelligent manufacturing platform. By combining edge-compute vision systems, multilingual voice interaction, and AI-driven planning within a modular cloud architecture. The result is a smart factory framework that enhances worker productivity, minimizes downtime, and provides real-time insights into every stage of production, embodying the future of industrial automation.
Case study - AI Manufacturing - Order Management System
Order Management System

View, filter, and manage production orders

Case study - AI Manufacturing - Operator Activity Dashboard
Operator Activity Dashboard

Updates from live production tracking

Case study - AI Manufacturing - Admin & User Management Panel
Admin & User Management Panel

Access for teams across units

65%

Reduction In Manual Work

30%

Improved Efficiency

92%

Defect Detection Accuracy

Looking To Build An AI Platform For Your Industry?

We’ve got the experience and tools to help you deliver the desired results. Our team of AI experts is ready to help automate document workflows, integrate real-time computer vision, or build AI assistants.

Contact Us Request Demo
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