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A Popular Visual Search Engine

Our Customer is a pioneering visual search engine that leverages advanced AI and ML technologies to enable users to search for information by simply taking a picture. It offers a seamless and intuitive way for users to discover and learn more about objects, products, and landmarks in their surroundings.

A Popular Visual Search Engine, AI ML based visual search engine - NZMinds' AI and ML development company Singapore case study

Our Approaches

Our Customer adopts several key approaches to enhance visual search experiences :

  • Deep Learning: Utilising deep learning algorithms to analyse and interpret images, enabling accurate object recognition and classification.

  • Image Recognition: Implementing sophisticated image recognition techniques to identify objects, products, and landmarks captured in images.

  • Contextual Understanding: Incorporating contextual understanding to interpret user queries and provide relevant search results based on the content of the images.

  • Continuous Improvement: Prioritising continuous improvement through feedback mechanisms and data-driven insights to enhance the accuracy and relevance of search results over time.

Read here Singapore AI ML application development company NZMinds' case study of A Popular Visual Search Engine, AI ML based visual search engine

Key Features

1

Our Client utilizes advanced image recognition technology to analyze photos captured by users and provide accurate identification of objects within those images.

2

The app can identify various objects, including products, landmarks, plants, animals, and more, by analyzing the visual content of images.

3

Our Client is equipped with text recognition capabilities, allowing users to extract and search for information based on text within images, such as signs, labels, and documents.

4

After analyzing an image, our Client presents users with relevant search results, including detailed information, prices, reviews, and related images or products sourced from the web.

5

Users can use our Customer's built-in barcode scanner to quickly identify products, access pricing information, and find online shopping options.

6

The app offers voice search functionality, enabling users to perform searches hands-free by simply speaking their query into the device.

Usage

  • Capture Image: Open the our Client app or website and capture an image using the device's camera or upload a photo from the gallery.

  • Initiate Search: Tap the search button to initiate the visual search process.

  • Object Recognition: Our Customer analyses the image using AI and ML algorithms to recognize objects, products, or landmarks captured in the photo.

  • Search Results: Receive search results based on the recognized objects, providing information, links, and related content relevant to the image.

AI ML Technology leveraged for A Popular Visual Search Engine, AI ML based visual search engine - NextZen Minds' AI ML application development company Singapore case study

Technologies

  • Convolutional Neural Networks (CNNs): Using CNNs for feature extraction and object detection, allowing our Client to recognize objects and patterns in images.

  • Natural Language Processing (NLP): Integrating NLP techniques to understand and process user queries, enabling our Customer to provide relevant search results based on textual inputs.

  • Machine Learning Models: Training machine learning models on large datasets to improve the accuracy and performance of object recognition and image classification.

  • Computer Vision: Leveraging computer vision algorithms to analyse and extract information from images, such as object attributes, colours, and textures.

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