Perception of Deep Tech Consulting

Dive into our work

Project Use-Cases from boutique engagements require the Design, Development, Planning and Execution of initial solutions via proof of concepts. This documentation highlights the products that we’ve built that enabled us to execute on delivering them. You can learn how to use a Machine Learning platform to interact with your environment in virtual, digital and physical spaces.

Automate your Augmentation

Scan some of our working projects to catch up on developments that came out of the attic. We’ve consolidated the tools and components of these projects to build the platform of a successful environment. Begin constructing a pipeline of Automation as a core tenant to weave a continuous cycle of adaptation while maintaining an Augmented Lab.

MLOps—machine learning operations, or DevOps for machine learning automations model development workflows AI platform.

Practical applications for computer vision technology makes it a central component of many modern innovations and solutions. Getting started.

Developed interfaces and pretrained reading tools help streamline the image library required to deploy deep learning tools on Embedded Systems.

Digital representation of a physical object, process, service or environment that simulates its counterpart in the real-world is the Digital Twins.

Edge computing brings computing power and data storage closer to the workloads as the iot_edge performs model inference.

Endpoints enable Time of Flight (ToF) sensors to capture state and position environments for the Device Twin, anchoring into Augmented Reality.