LLEETS Computer Vision+Outsourcing

Product overview: LLeets is a state-of-the-art text recognition application. This multilingual computer vision app allows users to detect and extract various types of text, both digital and handwritten. The goal was to make the app so easy and fun to use that people would prefer taking a picture of text and using the captured content instead of writing it down.

Issues: The customer wanted to outsource the development of the entire project. Five of our professionals were involved in its creation. We needed to develop an app that could detect and extract data from any type of document, ranging from digital surveys to basic handwritten notes and letters. The app had to work with different surfaces and backgrounds, such as digital photos, analog photos, white paper, or yellow sticky notes. It also needed to be multilingual, covering seven languages: English, German, French, Italian, Russian, Chinese, and Norwegian. Both formal and informal language had to be incorporated. We needed to gather big data from all currently available sources and find suitable pre-built algorithms or develop them from scratch, implementing special computer vision algorithms to accurately recognize written data.

Technologies used: Computer vision

Solution Implementation:

Our approach involved several key steps:

Research and Analysis: We conducted an in-depth analysis of the latest computer vision technologies and trends. This included evaluating various AI models, algorithms, and frameworks to determine the best fit for LLeets's needs.

Outsourcing Strategy: Recognizing the importance of expertise and cost-efficiency, we identified and partnered with top-tier outsourcing providers specializing in AI and computer vision. This allowed us to access a pool of skilled professionals and state-of-the-art resources.

Development and Integration: Our team worked closely with the outsourcing partners to develop a customized text recognition solution. We focused on creating a system that was not only highly accurate but also optimized for mobile platforms, ensuring smooth and efficient performance.

Testing and Optimization: Rigorous testing was conducted to validate the system's accuracy and performance across different languages and backgrounds. We fine-tuned the algorithms and models to ensure they met LLeets's high standards and provided a superior user experience.

Impact on the Client:

The implementation of the advanced computer vision solution brought several significant benefits to LLeets:

Enhanced Accuracy: The new system significantly improved the accuracy of text recognition tasks, leading to better user satisfaction and engagement.

Multilingual Support: The app's ability to handle seven languages broadened its usability and appeal across different regions.

Scalability: The scalable solution allowed LLeets to handle increasing volumes of data and users without compromising performance.

Cost Efficiency: By leveraging outsourcing, LLeets was able to access top-notch expertise and resources without incurring the high costs associated with in-house development.

Competitive Edge: The enhanced capabilities provided by the new computer vision system positioned LLeets as a leader in the mobile application space, attracting new users and business opportunities.

Result: LLeets is now a robust, easy-to-use application that effectively performs all its functions. It allows users to detect and extract text from various types of documents and surfaces, supporting multiple languages and enhancing productivity by making text recognition seamless and enjoyable. The successful integration of advanced computer vision technologies demonstrated the value of combining AI, machine learning, and strategic outsourcing to achieve exceptional results.