Visimatic’s Post

Camera robot guidance by Visimatic Thanks to the combination of camera vision and the robot, even randomly oriented products that are on a conveyor belt, can be reliably picked up and positioned. Reduce costs in production and don't rely on expensive jigs and slides that change the orientation of products. With industrial cameras, sensors and software, production variability and the possibility of additional adjustments are many times greater, making the investment in this solution more secure. Explore more here: https://lnkd.in/ejYvd9CB #robot #AI #picking #automation #productpositioning

Empowering Automation with Computer Vision 📷💡 One of the most compelling aspects of #computervision is its ability to replace expensive sensors traditionally used in #automation processes. Unlike specialized sensors, which often come with significant costs and limited functionalities, computer vision systems can perform a wide range of tasks with a single camera xis.ai provides a complete end-to-end solution for visual #quality inspection, from vision model development to automating the sorting process. Explore More: https://xis.ai/ #foodindustry #robotics #ai #technology #production #foodinspection #inspection #assemblyline #qualityassurance #electronicsindustry #artificialintellegence #electronics #visualinspection

Humanoid #Robot ... Are you ready for the #future? This is the Figure02 paving a path for #humanoid robots to enter the workforce and the home 🏡 🗣️ Speech-to-speech: capable of conversation with humans through onboard mics and speakers connected to custom #AI models 📸 Cameras: AI-driven vision system powered by 6 onboard RGB cameras ✋ Hands: 4th gen hands with 16 degrees of freedom and #human equivalent strength 👀 Onboard VLM: enables fast common-sense visual reasoning from #robot cameras 🔋 Battery: 2.25 KWh custom #battery pack in the robot torso delivers 50%+ more energy 💻 CPU/GPU: 3x the computation and AI inference available on-board compared to the previous generation Scary or Awesome? 🤔

Intelligent robots, what kind of chips are needed? But first, here are the suggested chips for the robot to realize its functions: 1. It can only realize picking up an object and putting it somewhere else, you can't ask it to open a drawer, because it will only pick up and put down two actions. 2. Fewer objects means less clutter and clearer navigation routes. To ensure that the robot's sensors (hardware, data collection) to SLAM algorithms (software, path planning) to the MCU chip conduction path is correct, so indispensable components are LiDAR and a variety of sensors. It's still only being tested internally in small batches and on a small scale.  But it was still smart marketing ...... It is also a wonderful "humanoid robot" in the factory to work "into the new trend class". 🍏 🥤If this post was helpful, please share and follow Richardelectronics for more information-->https://bit.ly/3Jqw7VO 🚀 Every week, I will share a video about chip applications in self-driving, robotics, and AI chips - build your chip circle #robots #tech #chiptrends #AI #automation

Vacuum Cleaner WA5 *Self-adjusting the suction power on different glasses 1. Dual-direction auto atomization spray 2. Two levels of spray volume 3. Detachable spray module, user can easily replace it by themselves 4. Separate air duct to avoice water be sucked into the internal part of robot 5. Artificial wiping mode, provides the best cleaning performance      6. With built-in sensors, the robot recognize the borders and adjust direction automatically      7. Once detects the leakage of air, the robot moves back automatically, always keep itself away from danger.      8. With built-in battery as the back up power, the robot can still adhere to the glass about 20-30 mins even if the electric is suddenly cut off      9. Long safety rope keeps the robot from falling down in critical situation.      10. With high density fiber mop, thoroughly clean the glass without hurting it.      11. With 2.4G remote control, users can control the robot even from 20 m far away （NW of the robot: 1.15 KG  /  GW of single package: 2.3 KG） （NW of the carton: 12.25KG  /  GW of carton: 13 KG） #vacuumcleaner #windowcleaner #hutt #ecovacs #satuo #hobot #robot

 How do robots avoid collisions quickly and effectively using image processing? The process starts with the continuous capture of image data by cameras. These images are pre-processed to reduce noise and extract important features. Next, object detection uses algorithms and machine learning to identify objects in the image and calculate their position and orientation. The robot analyzes this data to predict potential collisions with itself or its surroundings by tracking the movements and trajectories of objects. Based on this analysis, the robot plans the safest path in real time and adjusts its movements accordingly. This process repeats continuously to ensure safe navigation. With LumiScan VGR, you can deactivate collision checks for certain path segments. This saves time for analysis and planning without any loss of quality. Learn more about other benefits: https://lnkd.in/eHXRut23 #imageprocessing #Industrialautomation #collisionavoidance #LumiScanVGR

Unlocking the Future: Dive into #3DComputerVision! Imagine cameras and sensors teaming up to give machines a 3D view of the world – it's like bestowing them with vision, right? From enhancing robotics to powering virtual reality and autonomous systems, the applications are endless. Plus, with cutting-edge techs like #3DCNNs and #PointCloudAnalysis, analyzing three-dimensional visual data has never been more exciting! ✨Ready to explore? Let's discuss your next Computer Vision project: https://lnkd.in/g8TTysPH #Computervision #3DComputerVision #threedimensionalvisual #CNNS #Pointcloudanalysis #Artificialintelligence #computervisionexperts #computervisionservices #Proglint

I'm thrilled to share a recent project I've been working on: a Computer Vision-Based Firefighting Robot designed to enhance fire detection and suppression in challenging environments. The robot integrates advanced computer vision with traditional sensors to achieve two-way verification for fire detection: 1️⃣ Camera Detection: Using a trained MobileNet-SSD model, deployed on a Raspberry Pi, the robot identifies fire through live video feed. 2️⃣ Flame Sensor Verification: Once the robot moves closer to the suspected fire, the flame sensor confirms the presence of fire. 🌟 Key Features: Obstacle Avoidance: The robot is capable of autonomous navigation, dynamically adjusting its path to avoid obstacles while approaching the fire scene. Compact and Intelligent Design: Combines computer vision and embedded systems for real-time decision-making. This project highlights the potential of robotics and AI in life-saving applications. I'm excited about how this innovation could pave the way for safer firefighting techniques and inspire new ideas in robotics! I’d love to hear your thoughts and feedback on this. 🚀 #Robotics #ComputerVision #AI #EmbeddedSystems #Innovation #Firefighting

AI is transforming smart factories with advanced vision solutions. From AI-enabled cameras and robotics to 3D sensing and non-visual spectrum cameras, these technologies unlock high-value use cases like time and motion studies to enhance efficiency, ensure worker safety, improve process compliance, and maintain quality control. Discover how #BlaizeAI empowers the factories of the future | https://bit.ly/4ii1qlN. #SmartFactory #AIInnovation #RoboticsVision #3DSensing #FactoryEfficiency #WorkerSafety #QualityControl #ProcessCompliance #IndustrialAutomation

Biped robot makes GUINNESS BOOK OF WORLD RECORD Completes 100 m in just 24.73 seconds. Stuff we like includes 1. Completed 5k, uses ML for controlling the gait that too with a single battery charge 2. No camera or external sensors 3. Used parallelization - Trained for a year in simulation but compressed it to a week by multiple processes ran in parallel. Let's connect 🏡 and share more insights 💭 #bipedrobot #ml #guinnessbookofworldrecords