Ian J. Latchmansingh

Human-Centric Design Leader & Technologist in NYC
Broadcast Monitoring using Machine Learning and Computer Vision
Functional Prototype
Functional Prototype


This solution allows for the automation of lower-level broadcast monitoring quality checks like audio and video anomalies that were previously manual chores. This enables human workers to focus on higher-level tasks, take action sooner, and handle a higher volume of channels without sacrificing efficacy.
AWS for M&E: Broadcast Monitoring Architecture and Design
Procedural Terrain Generation for Robotics Simulation and Machine Learning
Synthetic Spatial Data
Terrain generators were initially developed for the AWS + JPL (Jet Propulsion Laboratory) Open Source Rover Challenge. This was a virtual hackathon that challenged contestants to improve how rovers on Mars may operate on the unpredictable terrain.  This design is a fully-procedural particle system that can: distort the surface, scatter obstacles of varying complexity, size, and frequency, and dynamically set the rover origin point to a flat, transitional surface.




©MMXXI
Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.