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A radiologist can mark a tumor on a CT scan by drawing a straight line across it. Creating a complete 3D segmentation requires outlining the tumor across the slices where it appears, which is more tim
We test GPT-6 Astra on object detection, segmentation, counting, visual reasoning, and video, with examples, benchmark results, and cost comparisons.
GPT-6 Astra can return polygon outlines for any object you describe. They are not pixel masks, so we benchmarked them against SAM 3 and show how to combine the two.
This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.
Canny edge detection in five steps (blur, gradients, NMS, thresholds, hysteresis), plus a Roboflow Workflow that runs it on images and video.
Gaze tracking explained, plus a working pipeline: detect faces with SAM 3, track them with OC-SORT, and estimate gaze with L2CS-Net in Roboflow.
GPT-6 Astra runs zero-shot detection on your images and returns bounding boxes for the classes you define.
A reject decision must happen in milliseconds, cameras generate data continuously, and the line still runs when the WAN does not. This guide covers edge vision deployment for manufacturing, from hardware and model optimization to PLC integration and IT/OT controls.
Learn how to choose and validate an object detection confidence threshold using precision, recall, error costs, and real-world model behavior.
Mine low-confidence predictions from production images, review them with a VLM, then label and retrain.
Pulling bad parts by hand dates back to 1960s assembly lines. I built a local defect detector using a webcam, RF-DETR, and a desktop robot arm. Ten training photos and 0.2 seconds per frame run the full detect, decide, pick, and verify loop right on my desk.
Roboflow Auto Label runs Gemini 3.7 across the batch and returns bounding boxes for the classes you define.
This article is brought to you by Ollobot.From about 2017, individuals began to truly connect with the initial wave of companion robots. These devices had personality, moved around, joked, and answered when you spoke to them.
Agentic QA on the line: when inspection agents close the loop instead of flagging. Applies agentic CV to manufacturing quality and anomaly handling. The post Autonomous Quality Assurance: Closing the Loop, Not Flagging appeared first on viso.ai.
Everything you need to know about Optical Character Recognition (OCR). Popular real-world OCR applications.The post Optical Character Recognition (OCR): A Complete Guide appeared first on viso.ai.
Food and beverage manufacturers lead AI Vision adoption, from quality control and food safety to reduced recalls and real-time production line inspection.The post Computer Vision in Food Manufacturing Part 2: The Why appeared first on viso.ai.
The most competitive teams aren't using AI as a feature. They've made it the foundation they build from. Here's what that shift looks like in practice.The post AI as an Infrastructure: The New Foundation for Work appeared first on viso.ai.
Agentic computer vision detects, decides, and acts, automatically. Learn what it is, how it works, and why it matters for enterprise operations.The post What is Agentic Computer Vision? A Plain Guide appeared first on viso.ai.
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