Igor Lashkov
Researcher at SPC RAS
My research focuses on human-centered applications of machine learning, artificial neural networks, knowledge management, recommendation systems, data analysis, especially in intelligent transportation domain.
Some projects I've worked on.
Drive Safely
Drive Safely Assistant for Android and JVM provides actionable information to a driver how to prevent a road accident. It recognizes driver’s drowsiness, distraction, belt presence, phone usage, eating, smoking, and camera sabotage.
TFProfiler
Profile TensorFlow Lite model and measure its performance using FPS, model initialization time, inference time, and memory consumption on the smartphone. You can tweak model runs with different delegates (CPU, GPU, NNAPI, HEXAGON), XNNPACK option, number of threads.
HyppoYD - Yawn classification
The trained neural model solves an image classification task that predicts whether the human's mouth is opened or closed.
Eye state classification
The developed neural model solves an image classification task that predicts whether the human's eye is opened or closed using transfer learning technique.
