Arkiv 360

Image Recognition App

Website

services

AI Product Development

industry

AI / Computer Vision

duration

3 Months

country

United States

Project Overview

Arkiv 360 is an image recognition app that identifies all kinds of images and extracts text from an unrecognized text image. It is an AI powered visual solution that uses OCR and HWR. The website also allows a user to run search and help one to find exact image.

Challenges

Image Recognition Accuracy

• To recognise an image accurately was a challenge.

• We had to fine tune the model with the hyperparameters and the constant new image upload pattern of the users.

• We really had to give a really fast responding AI powered image app.

Text Query Search

• The search with text query was also a task.

• To get the query and to respond to it as fast as the upload was a challenge for the team.

Our Solution

Hyperparameter Tuning

• With hyperparameters, we were able to achieve the desired recognition results.

• It took a lot of research for us to train the model and give it the best user experience online.

Features

Arkiv 360 delivers AI-powered image recognition with OCR, HWR, and neural search capabilities for fast and accurate visual search.

1. Upload Images

Users can upload image or folder into the website with ease. It has a very intuitive web UI display.

2. Recognize Objects

With this particular computer vision tech, the site is able to identify and classify objects. It understands and categorizes object in real time.

3. Integrate OCR-HWR

OCR and HWR tech are integrated to extract text. The site enables a description and transcript of the text uploaded in the image app.

4. Neural Search

A user can easily search the image as per his specific needs. One gets a closer looking image to his query via the search results.

5. Fine Tune Model

Through deep learning, the new data is trained for more improved performance. A pre trained model is leveraged for users to get an apt recognition task in real time.

Backend and Web Technologies

Arkiv 360 is built with Python, PyTorch, and Flask on the backend, MongoDB and Milvus for data storage, and NextJs on the frontend.

Backend Framework

Python, PyTorch, Flask

Database

MongoDB, Milvus

Frontend Framework

NextJs

Conclusion

Arkiv 360 showcases the power of AI-driven image recognition combined with OCR and HWR technology. By fine-tuning models with hyperparameters and integrating neural search, WebMob Technologies delivered a fast, accurate visual solution that identifies images and extracts text in real time.

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