Great intelligence to solve complex problems
We combine system approach, technology and data science to help you.
Computer Vision
Algoritms
Information Extraction
Features
Strong maths and algorithms background
Expertise in Information Extraction (part of Natural Language Processing)
Base of ready-made solutions
Systems approach
Expertise in Computer Vision and Deep Learning
Strong experience in IT development and management
- Cars and pedestrians detection and tracking from quadcoptersWe used Faster R-CNN network architecture for detection. Modified SORT algorithm is being used for tracking. Multiple neural network architectures inspired by U-Net
- 2We used a fully convolutional neural network architecture inspired by U-Net and created by NVIDIA
- 3
- Recognition and reading of panel meters for a large steel plant in RussiaDate and time were recognized by template matching (Euclidean distance); for panel meters we used a custom convolutional neural network
- People segmentation in videosWe used a fully convolutional neural network architecture inspired by U-Net
- Video and webcam human pose detection
- Tracking people on recordings from surveillance cameras in department storesWe used YOLO to find people in video frames and DeepSort to extract movement tracks and to compare people between frames
Let's make something great together
hello@appliedml.io
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hello@appliedml.io
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