At Keepin.ai, we’re constantly innovating to make organizing, locating, and tracking your belongings easier and faster. One of our biggest focuses right now is enhancing our real-time detection system to provide a more responsive and intuitive experience. We believe that Keepin.ai should act as a natural extension of your space, giving you quick access to your items when and where you need them. Here’s a look at the exciting new features we’re working on and our vision for the future.

Moving Towards Real-Time Video-Based Detection

Currently, Keepin.ai uses an image-based detection method to recognize items, which is both fast and effective for most needs. However, we know there’s room for improvement. By moving to a real-time video-based detection system, we aim to offer a more accurate, responsive experience that recognizes objects with greater precision from various angles. With video-based detection, the system captures multiple frames as you interact with it, reducing the chance of missed details and making item recognition more seamless.

For our users, this transition will feel like a natural upgrade, where the app “understands” items more intuitively as they’re moved, positioned, or stored in the frame. Real-time video detection is the next step toward creating a smart organization tool that adapts to you and your surroundings.

Reducing Model Size and Inference Time: Our Optimization Goals

A critical aspect of developing real-time detection is optimizing the underlying technology to process data quickly and efficiently. Real-time detection involves analyzing multiple frames per second, which can strain processing power and slow down results. Our current priority is to shrink the size of our machine learning models while maintaining high accuracy levels. This reduces the load on the system, enabling faster processing and minimizing lag — so you can locate and organize items instantly.

We’re also focusing on reducing inference time, which is the time it takes for the system to analyze an image or video frame and generate a result. By cutting down on inference time, we aim to give users immediate, real-time responses when they interact with Keepin.ai. Imagine a seamless, lag-free experience where the system recognizes items almost as quickly as you do, enabling you to move through your tasks without interruption.

The Vision: A Faster, Smarter, More Intuitive Keepin.ai

Our development goals extend beyond just improving speed and accuracy; they’re about creating a Keepin.ai that feels naturally integrated into your life. As we move toward real-time detection, we’re looking forward to delivering a tool that doesn’t just locate items but understands your organizational habits, recognizes items quickly and accurately, and ultimately helps you create a more organized and functional space.

Each step we take toward this goal brings us closer to creating an essential companion for everyday living. From model optimization to real-time detection enhancements, we’re excited about these advancements and can’t wait to share them with you. Stay tuned for updates — Keepin.ai is evolving, and we’re thrilled to have you along for the journey.