Computer Vision on Azure: 2-mths Proof of Concept

Looking to leverage Computer Vision as part of Artificial Intelligence initiative on Azure, but unsure about how to move forward? Without human supervision, Computer Vision allows AI to “see” your business all the time, in-store movement of your customers, increased production quality, smart city surveillance.

Leverage our expertise in Computer Vision, whether you are planning to stay in Azure cloud or move to AI on Edge, our team of Computer Vision ML researchers and ML Engineers with expertise in Deep Learning together with Azure Solution Architects assist on the journey towards reliable, enterprise level secure and operational AI solution.

Whether you are looking for recognition of a person and their attributes, statistical analysis, visual inspection, event occurrence detection, recognition of human behavior or other use case, we will be able to deliver a prototype of a solution. Noctuai accelerates PoC engagement with custom Deep Learning models, pre-built and pre-trained models to decrease time to value and focus on your specific business use case for Computer Vision.

PoC stages: Business Objective & Envisioning - set the stage with business use case, success KPIs, explore alternative approaches and envision how AI and CV might solve the challenge. Data Assessment, Data Gathering - Assess existing data supporting business case. Plan a path forward for additional activities such as data gathering, data annotation. Experimenting & Development - establish a baseline model against success KPI and iterate over a series of experiments and development of an AI solution leveraging portfolio of our algorithms and expertise. Publishing - publish the best solution, prepare recommendations & roadmap with next steps. Outcomes session - present outcomes against success KPIs, explore recommendations & roadmap.