Protostar Labs

Research

Our commitment to solving the toughest problems in complex industries is deeply rooted in our research. Our team includes scientists and PhD researchers  from the fields of physics, computer science, electrical engineering and biology. Rigorous and methodical process of hypothesis testing, known as scientific method is our candle in the dark.

Research Areas

Computer Vision Algorithms

Sophisticated computer vision algorithms analyze visual data for diverse applications like autonomous vehicles and security systems. We harness advanced machine learning to develop accurate and robust object detection, tracking, and recognition systems.

Multispectral Imaging

Multispectral imaging captures and analyzes images beyond the visible spectrum, offering insights into material composition and environmental monitoring for various applications in food industry, defense, space exploration remote sensing, and more.

Synthetic Data

We create artificial datasets mimicking real-world scenarios to train machine learning models effectively. These datasets improve the robustness of our algorithms, enhancing accuracy across various domains and mitigating model biases.

Machine Learning and Signal Processing

Real-time analytics and signal processing are critical for extracting actionable insights from continuously evolving data streams. Our research focuses on developing scalable and efficient signal processing systems capable of handling high-volume data streams in real-time.

Edge AI

We optimize AI models for use on resource-constrained edge devices. By leveraging techniques such as model compression, quantization, and efficient inference algorithms, we empower edge devices to perform real-time data analysis and decision-making locally, without relying on cloud connectivity.

Sensors and electronics for harsh environments

Robust sensors and electronics engineered for extreme environments are designed to withstand harsh conditions, ranging from space applications to outdoor monitoring systems. We ensure the reliability and durability of our sensors and electronics in challenging operating environments.

Research projects

Our research projects explore innovative solutions through collaboration and experimentation.

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