Technology: Computation Framework
Scorch Computation Framework is aimed to simplify the creation of complex AI systems
  • Combination:
  • Combines various machine learning modules, as well as auxiliary modules into a single ecosystem
  • Integration:
  • Provides integration of input and output data with business formats


is a software module that allows the analysis of videos and the visual recognition of objects, backgrounds, actions and emotions in their various combinations
The module analyzes live streams and recorded videos generating time and in-video (/stream) location tags. It is able to visually recognize objects, backgrounds, actions and emotions sending them to a receiver unit or saving them as a file so a device can conclude as to what its ecosystem should do next.
Modules can be provided in two configurations - server configuration and embedded configuration:
Server configuration
It is a powerful server module – e.g. it can be deployed on a server with a powerful graphics card capable of processing 600 frames per second – for processing live streams and video files data.
Modules can be configured to run either on Linux or Windows. Minimum requirements: 16Gb of memory and 200Gb of disk space.
Embedded configuration
It is a cross-functional module for (wearable) cameras, drones and mobile phones.
One trained module with custom vision skills – particular scenes, actions, objects, etc. – requires 2-4Gb. The in-module skills are to be specified by a customer so a device will be able to use vision skills without an internet connection while other vision skills are going to be stored on the Cloud Hub as the entire skills base my be too large to fit into the available memory of a device.