Protostar Labs

Face detection using FPGA

This represents our pipeline to create a object detection model like Yolov3 with its implementation on edge device which in our case is FPGA. Throughout training, optimization and implementation of given model we deliver you a final model that runs on target device and performs Face Detection alongside results at which FPGA performs.

Skin Tone Estimation

This system for skin tone estimation is a useful tool for beauty products recommendation. In addition to the estimation model itself, the system contains image preprocessing tools which makes it robust in all lighting environments.

Causal inference for root cause analysis in biotech

On top of its anomaly detection abilities AnomalAIzer offers state or art causal inference engine with ability to analyze complex multi-variate data streams enabling real-time tracking and response to data changes.

Anomaly detection in multivariate data streams

AnomalAIzer is an advanced machine learning platform that allows to monitor and analyze complex multi-variate data streams. It offers real-time anomaly detection and visualization providing insight to workers in various scientific and industrial fields.

Classification of Multispectral Land Cover Images Using FPGAs

Creating an AI model that can utilize multispectral images for classification tasks for Earth observation is relatively simple. Creating an AI model that can be run on the satellite whilst adhering to power and resourse utilization is a whole other story.

SDK for AI model training and deployment to FPGAs

Satellites collect vast amounts of data that need to be processed and compressed before being downlinked to Earth. Advanced machine learning (ML) models have made sophisticated processing methods available, but utilizing these models requires domain-specific knowledge. The SDK addresses this by lowering the prerequisite knowledge needed to train, test, and deploy ML models onto resource-constrained platforms.

Visual Quality Inspection of Lanterns

The application of artificial intelligence and computer vision in an industry such as the lantern industry has many benefits, some of which are time reduction, increase in product quality and safety.

Visual Quality Inspection of Bottle Packaging

Using machine learning and computer vision we can detect defects in various bottle formats while integrating seamlessly with existing production lines. This system offers high accuracy, low false positives, unmatched processing speed effictively increasing efficiency and reducing cost.