Krig Research


Visual Computing - AI - Visual Intelligence - Visual Solutions


Pose Point Analytics 2D / 3D

Activity Recognition

Descriptive Geometry 


A New Paradigm

Poseometryâ„¢ revolutionizes the way you interact with visual objects, delivering precise insights tailored to your needs. Our platform harnesses the strength of Multiple Intelligence and Multimodal Learning Agents, ensuring unparalleled power and adaptability.


PoseometryTM can describe and learn any visual objects you need, including humans, animals, and machines, then analyze, track, locate, understand, and use continuous learning to record changes over time. Visual objects are expressed in YOLO 2D and YOLO 3D pose points and analyzed using Poseometry, a proprietary form of descriptive geometry, like trigonometry, only optimized for pose points. Any format of points can be used as well.


A set of base features are provided for Poseometry functions like 2D / 3D position including height and width and depth, motion, trajectory, distances, and others. Advanced function are also available for determining rotation, vector orientation or direction, and a wide range of attributes for object analysis such as age, sex, and ancestry, actions, activity analysis, behaviors, states, conditions, and more. Other attributes can be added under a Custom Shop project for your application.


PoseometryTM is a descriptive geometry model for visual objects, similar to trigonometry, defining geometric and analytical pose point relationships, to describe and learn pose of any visual objects including humans, animals, and machines. PoseometryTM descriptions allow visual objects to be  analyzed, tracked, located, understood, using continuous learning to record changes over time.


PoseometryTM defaults to use the pose points generated by the YOLO (YouOnlyLookOnce) object detectors. 2D and 3D pose points for any visual object. YOLO is an open-source standard, which continues to provide leading-edge accuracy and performance across many platforms and compute accelerators. PoseometryTM accepts pose points from YOLO, Apple, Google, and other formats. The Custom Shop can help.




PoseometryTM


Developer Products

Why use PoseometryTM Developer Products? To move faster, and get there first, using proven software building blocks, to help you Developers do what they do best and focus on your critical features, instead of reinventing the pose point development wheel. C, C++, or Python are supported.


PoseometryTM Developer Products use YOLO models by default, but a simple converter can be added to transparently support other formats, such as Apple, Google, and others. See the Custom Shop.


+ VISION FRAMEWORK APP - The Vision Framework app contains the PoseometryTM library built-in, with many useful classes and functions to help ramping up to speed and rapid prototyping.


+ POSELIB - A Developer Pose Point support API Library is available for development teams to add pose point support for developing visual intelligence apps using PoseometryTM


+ FASTLIB - an optimized class for pose point caching and acceleration, using in-memory data structures locked into RAM for maximum performance and quick data access


+ PROTOSOURCE - a complete prototyping app is available, providing source code examples to use the  PoseometryTM library.

YOLO 2D, YOLO 3D, Apple, Google, more...
3D pose points generated using YOLO 3D detectors, opensource from github.


Learn, Track, Predict Visual Objects


+ Living Creatures
Human Activity
Animal Activity (selected animals, wildlife, pets, ...)
Insect Activity (selected insects)
Produce (Fruit, Berries, Grains, Vegetables, ...)
Biology Time-Lapse Activity (plants, microbes, ...)


+ Machines
Automobile Activity (Car, Truck, Cycle,...)
Household Items Activity (doors, windows, apliances, ...)
Tools & Machines (hand tools, machine tools, ...)
Industrial Items Activity (robots, machines, ...)
Airplane/Drone Activity (in-flight, on-gound, trajectory, ...)
Signs, Logos, Icons (traffic, pedestrian, product info...)


+ Custom objects
Any models can be created from custom object datasets


+ Example Apps
Learn/identify/predict who, what, where, when, and how
Security
Shopping
Behavior
Body Language
Sports
Etiquette (https://jamilamusayeva.com/courses)
Dance


... more ...


Activity Analysis and State Analysis
Living Creatures
Human Activity
Animal Activity (selected aimals, wildlife, pets, ...)
Insect Activity (selected insects)
Produce (Fruit, Berries, Grains, Vegetables, ...)
Biology Time-Lapse Activity (plants, microbes, ...)
Machines
Automobile Activity (Car, Truck, Cycle,...)
Household Item Activity (doors, windows, apliances, ...)
Tools & Mchines (hand tools, machine tools, ...)
Industrial Items Activity (robots, machines, ...)
Airplane Activity (in-flight, on-gound, ...)
Signs, Logos, Icons (traffic, pedestrian, product info...)

Custom visual objects created from custom object datasets



An introduction to PoseometryTM from Jorge, our AI Avatar !