The Core of our Tech
Advanced Computer Vision
Our app utilizes computer vision to accurately identify windows in real-time, enhancing measurement accuracy and speed by instantly analyzing visual data from your smartphone's camera.
Machine Learning
Leverage machine learning algorithms, our system continuously improves, learning from thousands of window measurements to increase precision and efficiency predict dimension, even in complex environments.
LiDAR / Sensors
LiDAR uses laser pulses for details surfaces mapping, prioritizing precision over colour vision. Our adaptable technology ensures remarkable accuracy, using your phone's cameras and motion sensors even on devices without LiDAR.
Learn about our Algorithm:
Beam Sight
Our algorithm isn't just special - it's at the forefront of our window measurement technology, crafted to ensure reliability, adaptability, and accuracy in every scan.
Through a blend of tech-savviness and meticulous data curation, our algorithm redefines whats possible in window measurement technology. It's not just special; its a game-changer.
Extensive Learning from Over 17k Images
Embracing Diversity for Real-World Accuracy
Ensuring Fairness with Balanced Classes
Help Beam Sight Learn
Share your feedback on the app's performance to help us enhance and refine our data models. Each piece of feedback continue to train our algorithms, making measurements even more accurate and user-friendly for everyone.
Perfecting Precision:
Training Our Data Model
Rendell Bernardes
Chief Technology Officer
Training a model requires extensive data and meticulous annotation curation. Our dataset includes over five thousand images covering a wide variety of window types, enabling us to achieve over 75% accuracy in detection. During the process, we underwent multiple fine-tuning phases, iterating on the parameters to attain the best possible detection results.
