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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

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. This solution enables leading companies to build, deploy, and scale their AI vision applications, including AI emotion analysis.

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Cybord Secures $8.7M in Series A Funding to Revolutionize Electronics Manufacturing with Traceability

Unite.AI

Cybord , a company at the forefront of visual AI technology for electronic manufacturing, has raised $8.7 Cybord's solution addresses these challenges head-on by offering a cutting-edge platform that integrates deep learning and AI to analyze and verify each component used in the assembly of printed circuit boards (PCBA).

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YOLOv7: The Most Powerful Object Detection Algorithm (2023 Guide)

Viso.ai

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. In this article, we will provide the basics of how YOLOv7 works and what makes it the best object detector algorithm available today. The original YOLO object detector was first released in 2016.

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Simon Randall, CEO and Co-Founder of Pimloc – Interview Series

Unite.AI

Pimloc’s AI models accurately detect and redact PII even under challenging conditions. These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage. This enables the detection of PII in videos, even when the quality is low.

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AI in Autonomous Underwater Vehicles (AUVs): A Deep Dive

Viso.ai

We’ll explore the key AI technologies that enable them, examine real-world applications, and a hands-on tutorial for obstacle detection. About us : Viso Suite is the end-to-end platform for building, deploying, and scaling visual AI. Following are some of those algorithms.

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Computer Vision For The Restaurant Industry (2023 Guide)

Viso.ai

AI vision powers automation with cameras that serve as the “eyes” to see and analyze situations with ML techniques. Real-time data is captured and analyzed by AI and deep learning algorithms. The visual algorithms make it possible to make better hiring decisions based on objective data points.

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AI Emotion Recognition Using Computer Vision

Heartbeat

It gives the computer the ability to observe and learn from visual data just like humans. and applies this learning tosolving problems. Modeling representations of facial expressions by detecting facial landmarks [ Source ] A model is trained to first identify regions of interest from visual images.