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Agentic AI & Embedded IoT for Furniture Manufacturer

Services Covered:

DevOps • Managed IT Services • AI and Machine Learning • IoT Development
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Industry
Industry

Engineering & Manufacturing

Duration
Duration

5 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 June 2024

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Code B Solutions Pvt Ltd is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

FurnitureRoots

mapJodhpur, India

Project Summary

CODE B developed an Agentic AI computer vision system for a furniture manufacturer and deployed embedded IoT systems integrated with the client's hardware. The solution flagged defects in wood grain quality and identified equipment issues like wear and potential breakdowns. The project was completed to scope with thorough testing; the vendor was proactive and technically strong, though some deadlines were missed with adequate communication.

Key Challenges

  • Build an Agentic AI workflow for automations in manufacturing
  • Integrate IoT systems to act as a smart manufacturing hub

Project Deliverables

  • Agentic AI computer vision system to flag and categorize wood grain defects
  • Embedded IoT systems integrated with client hardware to flag equipment issues such as wear and breakdown likelihood
  • Thoroughly tested workflows aligned with requirements

Project Solution

CODE B built a computer vision system using Agentic AI to detect and categorize wood-grain defects and deployed embedded IoT systems (using their AWS/Azure software stack) that integrated with the client's hardware to flag equipment issues such as wear and likely breakdowns. They delivered and tested workflows that integrated with the client's manufacturing processes.

Project Outcome

  • Completed the defined scope of software development
  • Thoroughly tested workflows that aligned with requirements
  • Team proactively extended work beyond scope to help meet deadlines despite some schedule slips

Platforms

  • Embedded SystemEmbedded System
  • CloudCloud
  • IoTIoT

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • AzureAzure

Client Endorsement

Overall Review Rating

4.75star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“CODE B successfully completed the project according to the client's requirements. The team was proactive, going above and beyond to meet the client's needs without compromising quality. What stood out about the team was their technical expertise and experience.”

Kevin Joseph

Head of Growth

Note: This endorsement is based on publicly available client feedback from external review sources.

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