by Matt Johannessen Over the last six months, Novetta has had the privilege of collaborating closely with the AWS Snow Family and AWS Disaster Response teams. Working with AWS, we have integrated Novetta’s mission proven C4ISR solution, called Ageon ISR. With emerging IoT and Machine Learning capabilities, Ageon ISR is deployed on the rugged AWS Snowball Edge Compute Optimized device. The device acted as a computing and storage hub at the temporary incident command center at two different massive disaster response events. Novetta used the Snowball Edge device to successfully track the location personnel, vehicles, and equipment involved in the…
IoT & Edge Computing for Disaster Response
by Matt Johannessen Recently, I had the opportunity to lead a Novetta team tasked with demonstrating how C4ISR, IoT, Machine Learning, and edge computing technologies can improve situational awareness for disaster response operations. Through our partnership, Amazon Web Services invited Novetta to participate in an event called Operation Convergent Response (OCR). OCR is an event hosted annually by Verizon & Nokia at the Guardian Centers facility in Perry, GA. The primary objective of OCR is to bring solution providers and first responder organizations together to demonstrate how emerging technologies can save lives. Unlike traditional technology trade shows, OCR is centered…
Deploying Advanced Machine Learning Models at Scale
Novetta is using deep learning to automate advanced analytic pipelines for our customers. These new capabilities identify important pieces of information across large text, image, and video data sets, a challenge faced by many of our Defense and Intelligence Community customers. We developed Argo, a standardized, Docker-based model training and deployment pipeline, to enable rapid evaluation and deployment of state-of-the-art deep learning models. Argo enables models to be deployed as endpoints and, when used with Amazon SageMaker, it forms the foundation for us to deploy, scale, and manage our deep learning models. Simplifying infrastructure setup through Docker and AWS allows…
Training an ML Model on the Show Floor: Rapid Prototyping at AWS PSS
by Ben West, Brian Sacash AWS PSS attendees interact with Novetta’s Machine Learning Prototype demo on the show floor. Introduction In our previous blog post, Sharpening the Edge with IoT, ML, and Homomorphic Encryption, we discussed our prototype application with the following functionality: Identify when a simulated license plate (alphanumeric characters on a white card) appeared in a live video stream Extract text from the license plate card using Amazon Rekognition Securely search an encrypted watchlist for this text Return any matches to the user Novetta and Enveil demonstrated this prototype at AWS Public Sector Summit, June 11-12….
Sharpening the Edge with IoT, ML, and Homomorphic Encryption
An interactive demo at AWS Public Sector Summit • Washington, D.C. June 11-12
by Matt Johannessen Edge compute capabilities are central to many of our customers’ missions, and are only growing in importance. For complex workloads like field forensics or digital media triage, we are seeing an increasing need to use machine learning models to process data where it is being collected. Novetta is pairing our advanced analytics, machine learning, and IoT capabilities with Enveil’s ZeroReveal™ technology through a strategic alliance. Using homomorphic encryption, Enveil’s technology allows sensitive information to be securely processed in unsecure environments, allowing data to be searched or analyzed while it is still encrypted. The data security startup’s core…
