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AI Emotion Recognition Using Computer Vision

Heartbeat

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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Visual AI Takes Flight at Canada’s Largest, Busiest Airport

NVIDIA

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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Mora: A New Multi-Agent Framework that Incorporates Several Advanced Visual AI Agents to Replicate Generalist Video Generation Demonstrated by Sora

Marktechpost

Unlike these models, Mora leverages collaboration among advanced visual AI agents to achieve generalist video generation. Models like Pika and Gen-2 demonstrated notable performance, but they have limitations when it comes to producing longer videos and lack the abilities shown by Sora in the current landscape of video generation.

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Applying Visual AI to Legacy Security Systems

DataRobot Blog

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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Computer Vision For The Restaurant Industry (2023 Guide)

Viso.ai

In the era of digital transformation, the restaurant industry is catching up, increasingly deploying AI technology to enhance efficiency, reduce costs, and create better customer experiences. Real-time data is captured and analyzed by AI and deep learning algorithms.

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AI on the farm: Ag-tech startups help zap weeds, fertilize crops — but still face challenges with data

Flipboard

Pollen Systems uses deep learning combined with visual AI to classify plants — counting them, assessing health, and suggesting actions for various fields through tailored crop profiles for each type. Pollen Systems is a Seattle-area ag-tech startup that uses aerial imagery and individual per-plant data to train its models.

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How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images

Marktechpost

We’ll see how Visual AI solutions can help the industry streamline such processes. With Visual AI solutions, e-commerce businesses can automatically change backgrounds, improve image quality, remove watermarks and even stage products in different environments. But how, exactly, are they to tackle them?

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