Saitama ZEXO AI InternshipSHIP

The Opportunity: Internship Summary

Internship
: AI/Computer Vision Volunteer Intern

About the Overview of the project

Focused on
translating raw images into actionable data
via advanced Computer Vision (CV) and Machine Learning (ML).

This is a high-impact, hands-on role perfect for students or recent graduates looking to build a professional portfolio in robotics, deep learning, and industrial automation.

Key Responsibilities & Learning Opportunities

The intern will primarily focus on the crucial post-capture data processing and system integration stage. Specific tasks include:

1. Data Engineering & Annotation (Computer Vision)

  • Data Labeling:
    Systematically annotate and label captured images (pallets, boxes, rack labels, product codes) to create a high-quality dataset for training the machine learning models.
  • Data Augmentation:
    Develop and implement strategies (e.g., rotations, lighting changes) to expand the training dataset and improve model robustness against real-world variations (shadows, occlusion).

2. Model Training & Optimization

  • Model Implementation:
    Assist in training and fine-tuning object detection and Optical Character Recognition (OCR) models (e.g., using frameworks like
    YOLO, TensorFlow, or PyTorch
    ) to accurately identify inventory items and read barcodes/text within the captured images.
  • Performance Analysis:
    Conduct rigorous testing to evaluate model accuracy, precision, and recall ($P, R, F_1 \text{ Score}$) on validation sets and identify areas for improvement.

3. System Integration Support

  • Discrepancy Reporting:
    Help design and test the logic for comparing AI-generated inventory counts against mock/simulated WMS (Warehouse Management System) data to flag discrepancies.
  • Dashboard Development:
    Assist in structuring and formatting the output data for visualization on a web dashboard, ensuring the insights are clear and actionable for a warehouse manager.
  • Documentation:
    Create clear, professional documentation for the AI pipeline, data standards, and integration methodologies.

What You Will Gain

This is an unparalleled opportunity to:

  • Gain Expertise in Industrial AI:
    Work with real-world computer vision challenges in the high-growth sector of warehouse automation.
  • Portfolio Development:
    Contribute directly to a production-ready system that mirrors the technology used by major robotics companies.
  • Networking:
    Establish connections within the robotics, AI, technology industries.
  • Academic Credit:
    Formal documentation for university credit or volunteer hours, if applicable.


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