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OpenCV Project on Product Placement Analysis comprising of pre-trained TF Model, Automated pipeline to train and test upcoming image inputs and annotation using Grounding DINO Algorithm

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RetailInsightPro : Automated Product Placement Analysis Platform

RetailInsightPro is a powerful tool designed to automate the analysis of product images in retail environments. This application aims to provide a comprehensive solution for assessing and optimizing product placement in stores. Below, we outline the key features and functionalities of RetailInsightPro.

Features

1. Automated Image Analysis

RetailInsightPro automatically analyzes product images, considering various parameters:

  • Identification of boundary boxes for affiliated brands to easily recognize the products in the picture.
  • Assessment of proportional shelf occupancy.
  • Determination of relative positions, considering factors like eye-level, visibility, lighting, bottom placement, and proximity to corners.

2. Criteria Definition for Admin

Administrators can define criteria for assessing product position, ensuring flexibility and adaptability to changing business requirements.

3. GRID Configuration

Administrators have the flexibility to define the GRID in which product placement will be captured. Users can define criteria in each block of the GRID, providing a customizable and granular approach to capturing product placement.

4. Image Capture Flexibility

Users can capture placement images in real-time and facilitate the upload of product placement images for subsequent analysis.

5. Insight Generation

RetailInsightPro provides actionable insights to Field Officers based on the analysis, helping them understand the effectiveness of the current product positioning.

6. Incentive Derivation

RetailInsightPro assists Field Officers in deriving the incentive value for each product in each shop based on the analysis.

7. User-Friendly Interface

The application is designed to be intuitive and easy to use, enabling seamless integration into the workflow of Field Officers.

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OpenCV Project on Product Placement Analysis comprising of pre-trained TF Model, Automated pipeline to train and test upcoming image inputs and annotation using Grounding DINO Algorithm

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