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Neurotechnology launches web platform for AI image recognition applications

Categories Biometric R&D  |  Biometrics News

Neurotechnology has launched a new deep neural network-powered interactive web platform for AI-based image recognition applications.

SentiSight.ai makes convenient, effective, and face image recognition accessible to users of any level of experience with image recognition, including first-time users, according to the announcement. The company says users can develop customized deep-learning models for image classification without writing code through the platform’s intuitive interface.

“With SentiSight.ai, you can quickly and easily implement modern deep learning techniques to build an AI model and immediately start identifying content in images,” said Dr. Karolis Uziela, SentiSight.ai team lead from Neurotechnology. “It enables users to manage a tremendous number of images in an easy and efficient way.”

Tools provided by SentiSight.ca include an image labeling toolkit, which reduces the time consumption of an important process, an interactive model training environment with statistics for users to measure and track model performance, and workflow assistance from Neurotechnology experts for custom projects. Trained models can be deployed to the SentiSight.ca platform or through REST APIs.

Neurotechnology was recently chosen as an algorithm partner by NEXT Biometrics for its fingerprint sensors.

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