Plainsight @PlainsightAI
A picture is worth a thousand numbers #ComputerVision #AI plainsight.ai Greater Seattle Area, WA Joined March 2016-
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Our Brazil team in action - fewer meetings, more commits. 🚀 Remote means face time is rare, so weeks like this matter. Coding together = faster solutions, shared context & stronger connections. Collaboration fuels great code and great culture. 🙌
🚀 3 months of #OpenFilter 🚀 14k+ events processed from 7k+ sources. From idea → powerful tool to build & deploy CV apps in minutes (no AI expertise needed). We’ve come far, but this is just the beginning. 👉 Explore the repo: hubs.ly/Q03DTJ3Q0
You can’t predict every security, privacy, or ethical issue in AI, but you can be ready to fix them. In vision AI, that means: • Keep data lineage • Retrain fast when needed • Treat training as ongoing Watch the full interview: hubs.ly/Q03C0YRD0
Dr. Wendell Rodrigues used OpenFilter to build a modular fire detection system for solar farms and transmission towers: YOLOv5 model, MQTT alerts, and LEGO-like pipeline assembly. Read now: hubs.ly/Q03C04Mh0
🚦 Before you train that model… ask these 6 questions. @KitMerker shares 6 essential rules every successful computer vision project should follow. If your model doesn’t meet these standards, it’s not ready for the real world. 🧠 Read the blog → hubs.ly/Q03zS4Mh0
What else could your cameras be doing besides recording? Computer vision isn’t just about surveillance. It’s about turning visual moments into actionable data—events, counts, movement, status. See the 6 Laws of CV to find out what’s possible: hubs.ly/Q03z7Rsd0
🍅 From farm-to-table… to camera-to-spreadsheet. @KitMerker CEO at @PlainsightAI, joins Maria Greicer VP at @keymakr_com to unpack the real complexity behind building computer vision systems. 🎥 Watch now: hubs.ly/Q03ywCBh0
Inventory’s moving fast. Shrinkage is real. Store layout makes or breaks the customer experience. Vision AI is already giving retailers an edge—but is your use case set up to deliver real results? 📍 Start with the 6 Laws of Computer Vision: hubs.ly/Q03xJv1X0
Video is the biggest source of untapped enterprise data. But using it means solving for privacy, governance, and scale, not just accuracy. @KitMerker and @pnashawaty discuss how VizOps helps teams move from raw footage to real results. Read the Research: hubs.ly/Q03x7tYM0
Before you train a model, ask the right questions. @PlainsightAI's 6 rules for computer vision success help teams go from idea to measurable results—faster. 📖 Read the full list: hubs.ly/Q03wW8_G0

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