Energy Robotics’ Post

Smart security, drones and intelligent manufacturing robotics require one key factor: instantaneous computing for #AI inference. Since digital systems store billions (or trillions) of parameters separately, they are unable to compute in a timely and energy-efficient manner.   Analog solutions like Mythic’s can avoid memory bottlenecks, resulting in accurate and instantaneous high-resolution inference. Mythic achieves this by storing AI parameters directly in the processor. For more information, visit: https://bit.ly/3LH6EZg

In today's modern factories, as industrial automation increases, safety is both a greater challenge and top priority. In this blog, find various safety use cases that can benefit from AI, including an example of proactive and reactive safety in action, implemented on NVIDIA IGX Orin in collaboration with FORT Robotics and Protex AI.

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

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

Today's intelligent robots can accurately recognize many objects through vision and touch. Tactile information, obtained through sensors, along with machine learning algorithms, enables robots to identify objects previously handled. https://lnkd.in/gpdTRf_D

Multi-Source Heterogeneous Information Fusion (MSHIF) utilizes data from various sensors, overcoming the limitations of individual sensors. This leads to a more comprehensive perception and recognition of environments or targets, enhancing the system's sensing capabilities. Applications of MSHIF Technology: Fault Detection Remote Sensing Human Health Monitoring Robotic Systems Human-Computer Interaction Target Recognition and Tracking SLAM ADAS ✨ Our high-end SoC AM890 leverages multi-sensor fusion SLAM technology for superior performance in robotics motion control.Unlocking the power of multi-sensor fusion SLAM technology with Amicro’s AM890.http://https://lnkd.in/eKffJS3P #Amicro #SLAM #AI #Robot #tech #AM890

 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

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