Ideas

ZombieCam invited to JIFX

Posted on September 20th, 2024

Chiral Software’s ZombieCam system has been selected for participation in the upcoming JIFX experiments. The team is looking forward to testing the technology and discovering creative ways of interfacing with other fresh-out-of-the-lab technology. As always the goal is to use our creativity and innovation to defend the United States and keep us ahead of our […]

USDA Forest Service selects Chiral Software to develop embedded machine learning system

Posted on August 22nd, 2024

USDA Forest Service – Savannah River Research Team has selected Chiral Software to develop CoyoteCam, an embedded machine learning system which performs wildlife management tasks. This system, developed under earlier research contracts with USDA Forest Service, will now be deployed to “secure” an area of approximately one square mile to prevent entry of coyotes, while […]

ZombieCam software receives certification from OTTI

Posted on July 23rd, 2024

Chiral Software’s ZombieCam remote surveillance software has received a Certificate to Field from the Operational Test and Training Infrastructure (OTTI) Authorizing Official (AO). ZombieCam is now on the OTTI Evaluated / Approved products list and is ready for deployment within the Air Force. This certification allows ZombieCam to be added to any authorized system environment. […]

Chiral Software’s ZombieCam product awarded Phase II SBIR

Posted on February 10th, 2023

After developing the ZombieCam concept in a AFWERX Phase I SBIR, Chiral’s team evaluated the potential of the system and created a plan and goals for a prototype development. The concept of ZombieCam was formulated into a new concept for ground-based situational awareness: the RASP system. The RASP concept is connected with the existing deployed […]

Chiral Software begins research in embedded machine learning for USDA Forest Service

Posted on August 26th, 2021

Chiral Software was awarded a contract today to continue development of the CoyoteCam embedded system for machine learning based wildlife management. The goal is to automatically select animals using images, to control an electric fence which will selectively exclude a target species. The CoyoteCam system uses NVidia modules, with battery and solar power, for deployment […]

Chiral Software receives AFWERX Phase I SBIR to explore anomaly detection for ground threat detection

Posted on February 4th, 2019

Chiral Software, in its DARPA research contract over the past two years, has deployed practical target detection systems which function in real time, on battery power. We considered possible security applications and realized, if we had an anomaly detection algorithm, and inexpensive sensors we could deploy in remote areas, we would be able to provide […]

A Survey of Modern AI Physics Modeling

Posted on November 9th, 2018

Given a scenario, can an AI model accurately predict the trajectory of moving objects? Can it use knowledge of friction and mass to anticipate the result of objects colliding? These are innate abilities we may take for granted, but attempts to replicate them reveal their complexity. The first project we’ll review isn’t a complete physics […]