Explore Our Projects

Dive Into Our Latest Developments

 

 

Smart Count App

A tool for simplifying vegetable counting and management. Here's what the app does:

  • Automated Counting: Upload images of vegetables, and the app accurately counts them using advanced AI technology. No more manual counting needed.
  • Color Detection: The app identifies the dominant color of your produce, helping with quality control.
  • Precision & Efficiency: Ideal for businesses looking to improve accuracy in tracking, classifying, and presenting vegetables.

Smart Count takes the hassle out of counting and gives you valuable insights at your fingertips.

 

 

Interactive QR code scanning with Hololens

By using HoloLens, users can scan QR codes in their environment to instantly access and interact with detailed digital content overlaid onto the real world.

Key Features:

  • Integration with Microsoft HoloLens: Uses mixed reality headset to enhance QR code scanning.
  • Interactive QR Code Scanning: Scans QR codes to display digital information in the user’s view.
  • Detailed Information Retrieval: Shows item details like name, description, and specs overlaid on the physical world.
  • Interactive Exploration: Users can interact with the information to access additional details and specifications.

 

 

Javra Warehouse Tracking System

A sophisticated application designed to enhance the efficiency of warehouse management through real-time tracking and visualization.

  • Real-Time Tracking: The application will automatically track items based on stored information in real-time.

  • Path Optimization: It will suggest the shortest path to the items, simplifying the tracking process.
  • Alerts: Proximity alerts and destination reached alerts will be displayed on the screen to assist users.
  • Continuous Display: The path to the item and the distance to reach them will be continuously displayed on the screen.

 

Mood Scene Generator

 The tool leverages advanced machine learning techniques, particularly in the field of image generation and enhancement, to create lifelike scenes.

  • Leverages advanced machine learning techniques in image generation and enhancement
  • Employs stable diffusion algorithms to create lifelike scenes with genuine items
  • Allows users to generate unique scenes by providing specific prompts
  • Integrates seamlessly into various applications

Clod and Tuber Detection​

We have developed a system that uses a camera to identify whether an object is a potato or a stone. Here are the key highlights:

  • Detection Process: The camera captures images, and our model analyzes them to determine if they are potatoes or stones.
  • Accuracy: We achieved an impressive accuracy rate of 97% in correctly identifying these objects.
  • Performance: The model processes 1 image per second, allowing for efficient detection. We have successfully conducted larger tests with about 10,000 objects to further evaluate performance and identify areas for improvement.
  • Future Plans: We are also developing a "tuber mode" to sort potatoes by size for better use in products like potato chips.

Want to get in touch for solutions tailormade?

Whether you're exploring possibilities or ready to revolutionize your business with customized solutions, our team is here to assist you every step of the way.

Reach out to us