In this example, we explore new design ideas faster by leveraging existing models. ⚡️
In recent projects, we ran up to 250 training samples of various bracket designs to develop a comprehensive AI model. Using SimAI, we can predict physical behaviors such as Von Mises stress in seconds.
And here's the exciting part: Each prediction from the AI comes with a confidence level, shown to increase with the number of training samples.

𝘉𝘳𝘦𝘢𝘬𝘵𝘩𝘳𝘰𝘶𝘨𝘩𝘴, 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴, 𝘢𝘯𝘥 𝘳𝘦𝘢𝘭-𝘸𝘰𝘳𝘭𝘥 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯𝘴 𝘧𝘳𝘰𝘮 𝘨𝘭𝘰𝘣𝘢𝘭 𝘭𝘦𝘢𝘥𝘦𝘳𝘴 𝘭𝘪𝘬𝘦 𝘕𝘈𝘚𝘈, 𝘎𝘌, 𝘢𝘯𝘥 𝘙𝘰𝘭𝘭𝘴-𝘙𝘰𝘺𝘤𝘦.

𝗪𝗶𝘁𝗵 𝘁𝗵𝗶𝘀 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵, 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗲𝗿𝘀 𝗰𝗮𝗻 𝗻𝗼𝘄:
🔹 Program and simulate #robot operations offline — reducing downtime and human error
🔹 Predict system-level risks before execution — using #AI models trained on historical data and #system behavior
🔹 Detect potential collisions, failure modes, or abnormal loads early in the workflow
🔹 Ensure higher #safety, efficiency, and #quality — even in complex, high-mix production environments

𝗔𝗱𝗱𝗶𝗧𝗲𝗰𝗵 is building the future of metal additive manufacturing with real-time AI-based monitoring, using thermal and optical sensors to detect defects like porosity and LOF as they happen.

🔍 Get ready to experience the future of metal 3D printing! We’re excited to introduce our ground‑breaking UDI Model 01, an AI-powered Intelligent Monitoring System that transforms real‑time quality control and adaptive process management.

Join us on this innovation journey from the heart of Turin and be part of the future of additive manufacturing!

#AddiTech #3DPrinting #AI #SmartManufacturing #Innovation

🌐 Learn more: AddiTech's LinkedIn Page
📩 Contact us: Alirezaghiasvandpolito@gmail.com
@AddiTech

Unlike standard YOLO detection, I've extended the functionality to approximate distance using object position in the frame - giving a pseudo-depth insight using just 2D vision. Think of it like the first step toward monocular ADAS systems.
Built on YOLOv8x-seg from Ultralytics for fine-grained object masks.

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