Viso.ai

OCTOBER 9, 2024

AI emotion recognition is a very active current field of computer vision research that involves facial emotion detection and the automatic assessment of sentiment from visual data and text analysis. provides the end-to-end computer vision platform Viso Suite. How does visual AI Emotion Recognition work?

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Heartbeat

MAY 22, 2023

Photo by Andrea Piacquadio: [link] Computer vision is one of the most widely used and evolving fields of AI. It gives the computer the ability to observe and learn from visual data just like humans. In this process, the computer derives meaningful information from digital images, videos etc.

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DataRobot Blog

MAY 18, 2022

Artificial intelligence (AI) can accelerate inspections by automating some reviews and prioritizing others, and unlike humans at the end of a long shift, an AI’s performance does not degrade over time. The training dataset used to train the AI model contains approximately 5,000 X-ray security images. AI CLOUD FOR PUBLIC SECTOR.

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Viso.ai

NOVEMBER 12, 2024

About us : Viso Suite makes it possible for enterprises to seamlessly implement visual AI solutions into their workflows. Viso Suite is the end-to-end, No-Code Computer Vision Solution. The learned representations are further refined using a projection network.

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Viso.ai

NOVEMBER 11, 2024

About us : Viso Suite is the end-to-end platform for building, deploying, and scaling visual AI. It makes it possible for enterprise teams to implement AI solutions like people tracking, defect detection, and intrusion alerting seamlessly into their business processes. To learn more about Viso Suite, book a demo with our team.

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Viso.ai

MAY 20, 2023

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. It requires several times cheaper hardware than other neural networks and can be trained much faster on small datasets without any pre-trained weights. About us: Viso.ai Get a Demo for your company.

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Algorithm Computer Vision Deep Learning Neural Network 52

NVIDIA

DECEMBER 6, 2023

A member of the NVIDIA Metropolis vision AI partner ecosystem, Zensors helped the Toronto Pearson operations team significantly reduce wait times in customs lines, decreasing the average time it took passengers to go through the arrivals process from an estimated 30 minutes during peak periods in 2022 to just under six minutes last summer.

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