AddiTech

2	https://www.linkedin.com/jobs/view/4246068264	1 372
3	Real-Time Intelligent Perception System Powered by YOLOv8 and OpenCV6 Technologies: In this project vision-based detection system that tracks and segments cars, traffic lights, pedestrians, trees, and stop signs in real-time from dashcam footage, and even estimates the distance to each object from the driver's perspective. 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. #AutonomousDriving_assist #OpenCv #artificial_intelligence @AddiTech	1 536
4	🚀 BREAKING NEWS from AddiTech! 🚀 ✨ Watch as our cutting-edge system detects defects instantly and automatically optimizes your 3D metal printing process. This is smart manufacturing redefined , live on our YouTube channel! 🎥 Don’t miss out – Click to watch now: 📺 AddiTech YouTube Channel 🔍 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	1 525
5	🚀 𝗪𝗲 𝗷𝘂𝘀𝘁 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗼𝘂𝗿 𝗳𝗶𝗿𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝘃𝗶𝗱𝗲𝗼! Discover how AddiTech is shaping the future of metal additive manufacturing with AI-powered real-time defect detection. 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. 🎥 Watch now and subsrcibe us on Yutube to see what makes us different: YouTube Link #AdditiveManufacturing #3DPrinting #AI #SmartManufacturing #DefectDetection #Metal #Innovation @AddiTech	1 582
6	🧠 𝗦𝗺𝗮𝗿𝘁 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗖𝗵𝗶𝗻𝗮: 𝗢𝗳𝗳𝗹𝗶𝗻𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 + 𝗔𝗜 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗔𝗴𝗲𝗻𝘁𝘀 𝗳𝗼𝗿𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗥𝗼𝗯𝗼𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 As China's manufacturing sector embraces the next wave of digital transformation, the integration of offline programming with AI-powered predictive agents is reshaping how industrial robots are deployed. 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 This marks a significant step toward fully virtualized #production planning, enabling safer #automation. Our LinkedIn Page @AddiTech	3 007
7	📌Metal Additive Manufacturing Magazine #PDF #2025 #Spring @AddiTech	663
8	🚨 𝗧𝗛𝗘 𝗙𝗨𝗧𝗨𝗥𝗘 𝗢𝗙 𝗠𝗘𝗧𝗔𝗟 𝟯𝗗 𝗣𝗥𝗜𝗡𝗧𝗜𝗡𝗚 𝗜𝗦 𝗛𝗘𝗥𝗘! 🔩🔥 #𝗦𝗽𝗿𝗶𝗻𝗴 #𝟮𝟬𝟮𝟱 𝗠𝗲𝘁𝗮𝗹 𝗔𝗠 𝗠𝗮𝗴𝗮𝘇𝗶𝗻𝗲 𝘉𝘳𝘦𝘢𝘬𝘵𝘩𝘳𝘰𝘶𝘨𝘩𝘴, 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴, 𝘢𝘯𝘥 𝘳𝘦𝘢𝘭-𝘸𝘰𝘳𝘭𝘥 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯𝘴 𝘧𝘳𝘰𝘮 𝘨𝘭𝘰𝘣𝘢𝘭 𝘭𝘦𝘢𝘥𝘦𝘳𝘴 𝘭𝘪𝘬𝘦 𝘕𝘈𝘚𝘈, 𝘎𝘌, 𝘢𝘯𝘥 𝘙𝘰𝘭𝘭𝘴-𝘙𝘰𝘺𝘤𝘦. 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗻𝗼𝘄. 𝗥𝗲𝗮𝗱 𝘄𝗵𝗮𝘁’𝘀 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗺𝗲𝘁𝗮𝗹 𝗮𝗱𝗱𝗶𝘁𝗶𝘃𝗲 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴. 👉 [Download Full PDF] Our LinkedIn Page @AddiTech	3 660
9	⚡️ 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝘀𝘁𝗿𝗲𝘀𝘀-𝗿𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗯𝗿𝗮𝗰𝗸𝗲𝘁𝘀 𝘁𝗵𝗮𝘁 𝗮𝗿𝗲 𝗯𝗼𝘁𝗵 𝗹𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝗮𝗻𝗱 𝗿𝗼𝗯𝘂𝘀𝘁 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝘀 𝗮 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 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. #News #AddiTech #GenerativeDesign #Engineering #AI #SimAI 𝘊𝘳𝘦𝘥𝘪𝘵𝘴: 𝘈𝘐-𝘋𝘳𝘪𝘷𝘦𝘯 𝘚𝘪𝘮𝘶𝘭𝘢𝘵𝘪𝘰𝘯 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘴 𝘢𝘵 𝘈𝘯𝘴𝘺𝘴 Our LinkedIn Page @AddiTech	1 933
10	🚀 𝗔𝗱𝗱𝗶𝗧𝗲𝗰𝗵 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟱–𝟮𝟬𝟯𝟮 Our prospective view will be at integration of intelligent process control, human-machine collaboration, and cyber-physical resilience in metal additive manufacturing (AM). 🛤 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 𝟮𝟬𝟮𝟱–𝟮𝟬𝟮𝟳: 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘗𝘳𝘰𝘤𝘦𝘴𝘴 𝘊𝘰𝘯𝘵𝘳𝘰𝘭 Real-time manufacturing optimization using AI, adaptive systems, and optical sensors. 𝟮𝟬𝟮𝟳–𝟮𝟬𝟮𝟴: 𝘚𝘶𝘴𝘵𝘢𝘪𝘯𝘢𝘣𝘪𝘭𝘪𝘵𝘺 & 𝘏𝘶𝘮𝘢𝘯 𝘞𝘦𝘭𝘭-𝘣𝘦𝘪𝘯𝘨 Focus on eco-friendly processes, bio-compatible materials, and socially responsible production. 𝟮𝟬𝟮𝟴–𝟮𝟬𝟯𝟬: 𝘈𝘥𝘷𝘢𝘯𝘤𝘦𝘥 𝘏𝘶𝘮𝘢𝘯-𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘐𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦𝘴 (𝘈𝘏𝘔𝘐) Integration of AR/MR for immersive monitoring and co-creation in AM. 2030–2032: 𝘊𝘺𝘣𝘦𝘳-𝘗𝘩𝘺𝘴𝘪𝘤𝘢𝘭 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 & 𝘙𝘦𝘴𝘪𝘭𝘪𝘦𝘯𝘤𝘦 Robust and secure AM environments via AI-driven anomaly detection and system integration. 🤝𝗝𝗼𝗶𝗻 𝗨𝘀: Open collaboration with researchers, innovators, and companies in: • Metal AM • Advanced control systems • AR/MR • Sustainable manufacturing • Cybersecurity in industry Let’s shape the future of AM together Our LinkedIn Page @AddiTech	2 735
11	Generative Design ⚙️ Revolutionizing Engineering Through AI Generative Design is a cutting-edge, AI-driven approach that transforms the way we conceptualize and create engineering solutions. Instead of manually modeling a structure based on past experience or intuition, engineers define the design goals, constraints, material properties, manufacturing methods, and loading conditions and the software explores hundreds or even thousands of optimized design alternatives. This iterative and exploratory process mimics nature's evolutionary approach, using algorithms to evaluate and evolve solutions based on performance metrics such as strength, weight, durability, and cost-efficiency. Unlike traditional CAD modeling, where design originates from the engineer’s mind, generative design starts with data — and ends with innovation. Stay tuned for real-world applications, case studies, and simulation insights into the future of design and manufacturing. 🌐✨ Our LinkedIn Page @AddiTech	2 535
12	Ansys Advantage – Issue 2, 2024 #PDF Our LinkedIn Page @AddiTech	474
13	🚀 A Must-Read Resource for Tech & Engineering Enthusiasts (Ansys Advantage – Issue 2, 2024) Focus Topic: AI-Powered Simulation & Autonomous Systems in Engineering This issue provides deep insights into the future of simulation technologies, autonomous AI systems, digital twins, and their real-world industrial applications. Key Highlights: 🔹 Autonomous AI for Smart Decision-Making 🔹 AI-Driven Simulation & Optimization Workflows 🔹 Digital Twin Development with AI/ML Integration 🔹 Industrial Case Studies from Leading Companies (Tata Steel, Seagate, Automotive, Aerospace) 📥 Access to the full PDF is available in this post. For more high-value resources in technology, engineering, and AI — stay connected with @AddiTech. #AI #Engineering #Simulation #DigitalTwin #Optimization #AddiTech	3 633
14	🔍 Autonomous AI Systems: Shaping the Future of Engineering & Intelligent Decision-Making Imagine an AI system that doesn't just process data but learns, plans, experiments, and generates innovative solutions independently. These next-generation autonomous systems function in iterative, adaptive cycles, enabling them to: 🔁 Plan and execute complex simulations and optimization workflows 📊 Evaluate results automatically and refine strategies based on outcomes 💡 Generate novel solutions grounded in learned patterns and insights. All with minimal to no human intervention drastically accelerating innovation across disciplines. 🚀 Key Applications Include: • Intelligent Data Acquisition through Active Learning • Automated Hyperparameter Tuning via Bayesian Optimization • Closed-loop Experimental Design and Model-Driven Discovery Our LinkedIn Page @AddiTech	2 268
15	🔧 Metal 3D Printing and Generative Design Applied to Vehicle Chassis Engineering This advanced demonstration combines Generative Design algorithms with Directed Energy Deposition (DED) metal 3D printing technology to redefine how we design and manufacture structural automotive components. Key advancements include: • 🔻 Up to 10× reduction in part count – minimizing complexity and improving maintainability. • ⏱️ 60% shorter lead times – accelerating prototyping and production cycles. • 🪶 Lightweight and modular architecture – enabling enhanced performance and energy efficiency. By integrating AI-driven design with additive manufacturing, this approach not only improves mechanical performance but also revolutionizes the production process through material efficiency and design optimization. #Metal3DPrinting #GenerativeDesign #DirectedEnergyDeposition #AdditiveManufacturing #VehicleEngineering #InnovationInMotion #AdvancedManufacturing Our LinkedIn Page @AddiTech	3 288
16	+3 🚗💡 Generative Design Boosts Formula Student Performance! The application of Generative Design is revolutionizing how student teams develop their Formula Student race cars 🏎 By using topology optimization, engineers can find the ideal material distribution within components — making them lighter, stronger, and perfectly adapted to real-world loads and design constraints ⚙️✨ 📍 A great example: The Elbflorace Formula Student Team from TU Dresden applied Generative Design to optimize their rock shafts. 🔧 Through additive manufacturing in titanium, they’ve cut the component’s weight by a massive 50% since the first iteration! 💪 💡 Why it matters: Reducing weight means less mass to accelerate — translating to: ✅ Faster acceleration ✅ Improved handling ✅ Lower energy consumption 🚀 Smarter design = better performance on the track! Our LinkedIn Page @AddiTech	2 748
17	+1 🧠 Conceptual Design with Generative AI and CFD on AWS ☁️ AWS is transforming early-stage product development by combining Generative AI with high-performance CFD simulations in the cloud. This integration enables engineers and designers to rapidly generate, evaluate, and refine complex geometries based on performance targets all within a scalable, cloud-native environment. Using tools like Amazon SageMaker, NVIDIA Modulus, and Ansys Fluent, design teams can: • Generate optimized geometry concepts in minutes • Run CFD simulations at scale using AWS ParallelCluster and HPC infrastructure • Apply AI-driven surrogate models for rapid performance prediction • Significantly reduce iteration cycles in the conceptual phase This cloud-based workflow empowers R&D teams to move from idea to validated design faster and more efficiently, accelerating innovation across industries such as aerospace, automotive, and energy. Our LinkedIn Page @AddiTech	2 272
18	🧠 AI-Powered Crash Predictions by NAVASTO \| Powered by Autodesk 🕓 Crash simulations that once took hours can now be performed in seconds thanks to the AI technology developed by NAVASTO, a company backed by Autodesk. Originally built for sensitivity analysis, this AI model now enables real-time crash predictions. A striking example: a Toyota vehicle crashing into a wall, fully simulated with AI, showing accurate deformation and impact behavior all happening in real time. Why it matters: • From hours to seconds: real-time crash analysis • Fast evaluation of multiple design options • Supports early decision-making • Reduces physical testing needs This is a major step forward in engineering workflows, making simulation faster, smarter, and more accessible. Our LinkedIn Page @AddiTech	1 771
19	⚡️ Ansys Fluent Meets #SimAI: Revolutionizing Simulation ⚡️ Ansys SimAI, a cloud-enabled generative AI platform, is transforming the engineering landscape by delivering ultra-fast and accurate performance predictions across physics domains like fluid dynamics. 🚀 What makes SimAI powerful? 1) Lightning-fast predictions: Evaluate performance in under a minute — design cycles reduced by 10-100X. 2) Massive design exploration: Quickly test and compare countless design iterations. 3) No-code AI experience: Designed for engineers and designers — no deep learning expertise needed. One impressive example: SimAI's drag prediction on a new SUV geometry takes less than 1 minute, with an error of less than 0.5% compared to CFD, while maintaining accurate skin friction and wake topology predictions. 🔁 Left: Traditional Fluent CFD \| Right: AI Prediction from #SimAI Our LinkedIn Page @AddiTech	1 696
20	𝗔𝗩𝗢𝗜𝗗 𝟯𝗗 𝗣𝗥𝗜𝗡𝗧𝗜𝗡𝗚 𝗘𝗥𝗥𝗢𝗥𝗦 𝗪𝗜𝗧𝗛 𝗦𝗜𝗠𝗨𝗟𝗔𝗧𝗜𝗢𝗡 🖥 At Danish Technological Institute, experts use simulations to optimize additive manufacturing and achieve 'first-time-right' results 📈 Using Simufact software, AM design specialist Andreas Weje Larsen predicts errors like deformation, cracks, shrink lines, and recoater contacts in titanium (Ti6Al4V). Aluminium (AlSi10Mg) is next ⚙️ Below is a test build for AMSIS GmbH, where shrink lines were predicted and later confirmed in the printed part 😊 The goal: Predict and fix errors before printing 👍 Our LinkedIn Page @AddiTech	2 334

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