SAP

Overview

DESCRIPTION

The SAP Brand Impact technology based on machine learning artificial intelligence ( cascade of deep convolutional neural network ) and automatically analyse large volumes of videos to detect brand logos (or additional visuals: humans, cars, objects ). Designing and implementing the fastest, fully asynchronous, TensorRT and CUDA based inference engine allowing to perform multi object detection and classification by ( VGG-16 ) frame-by-frame video with speed of [email protected] and [email protected] on single DGX-1.

Developing ML foundation services: Mask R-CNN for Object Detection and Segmentation – training, evaluation, deploying model; Multi Instance Segmentation functional python API service for getting inference from MASK-R-CNN model; and Scene Text Recognition – functional python API service for getting inference from model that will localize (EAST) and read text from natural images and scenes (OCR).

Conducting research and development of Saliency Detection, attention analysis, tracking algorithms capable of running in real-time: Image and video quality improvement using Machine Learning method; Neural networks trainings, results analysis and other Machine Learning related tasks; Perform special projects in collaboration with Machine Learning researchers and developers; Research of Artificial Intelligence / Machine Learning methods and their application to Computer Vision and Video Processing tasks; and Search for specific required data, analyze and prepare it for neural network training process.

AI EMPLOYEES
15
AI TYPES
Computer Vision Deep Learning Machine Learning
AI ALGORITHMS
CNN DCNN RNN
AI HARDWARE
ASIC FPGA GPU
AI TOOLS
TensorFlow
CODING
Python

Sign up for free

  • Save profiles to your list
  • View all funding rounds
  • Advanced sorting filter access
  • Search investment rounds
  • Search exit events