Ansys Autonomous Vehicle Simulation’s Post

Recently, I was fortunate enough to receive an insightful video from one of my former colleagues (tenure at BioSense), showcasing the remarkable achievement we're making in the world of automotive safety and health monitoring. It's a privilege to share this video with you all today. This footage offers a peek into our pioneering technology, where #ECG #sensors integrated beneath car seats work tirelessly to detect vital signs amidst the cacophony of road noise, body movements, and even through layers of clothing. This innovation, born from relentless dedication and a smart algorithm, represents a significant leap forward in making our roads safer and driving experiences more intuitive. In less than a decade, our small but mighty team has transformed a bold idea into a tangible reality, enhancing driver awareness and safety through #AI-driven solutions. PS: As an #Algorithm and #Firmware developer, I closely monitored the quality of the #signal #processing. It’s a component of our project that I’m particularly proud of, as it ensures the reliability and effectiveness of our innovative solution. #Innovation #AutomotiveTechnology #SafetyFirst #ECGSensors #AI #Collaboration #FutureOfDriving

Are subjective vehicle odor assessments a thing of the past? Discover digital olfaction - a game-changing technology that mimics human smell using biosensors, optics, and machine learning for classification and characterization of vehicle odors. Learn how this innovation is leading the automotive industry into a smarter, more efficient future. Read more about it here - https://lnkd.in/g-xFnXMf #LTIMindtree #FutureFasterTogether #Automotive #Manufacturing #digitalinnovation

Fujifilm’s medium-frame GFX 100S II is lighter, cheaper and AI-enhanced https://lnkd.in/gdxh8pCx

This week, Kwabena Agyeman joined us to talk about optimization, cameras, machine learning, and vision systems. You can listen here: https://lnkd.in/euhuJkkq. Or read the transcript here: https://embedded.fm. Here's an excerpt where we talked about SIMD instructions on Cortex-M4 MCUs: #embedded #camera #opensource #computervision #ML #wasps

IDS Partners with Fraunhofer IOSB on TAPS: OBERSULM, GERMANY — Up-to-date and accurate maps of the waterways are a prerequisite for safe and efficient shipping in Germany. Authorities such as the Federal Maritime and Hydrographic Agency, but also private harbor operators, are obliged to provide these in an up-to-date form at all times. The main reason for this is to avoid accidents caused by an incorrect or outdated card. This includes the classification of federal waterways, their kilometers, existing locks, lifting and barrages, other surrounding waters, places and borders. Currently, mapping is carried out by conventional ships with trained personnel, which is time-consuming and expensive. This can result in long intervals between measurements at a particular location. (Semi-)automated monitoring of waterways by autonomous platforms with obstacle avoidance and traffic detection could optimize this process and provide maps in less time. To this end, the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB has developed an autonomous surface vehicle capable of autonomously surveying bodies of water as part of a three-year in-house research project. For this purpose, the riverbed is recorded using sonar. Furthermore, the bank areas and surface structures are monitored by an optical system with two integrated industrial cameras from IDS Imaging Development Systems GmbH. The information obtained in this way is then merged and transferred to a 3D map of the surroundings.   Application   The precise surveying of water bodies is a demanding task. TAPS, the Fraunhofer IOSB's semi-automatic direction finding system for rivers and lakes is able to perform this task both under and above water. The vehicle, which measures approximately 2 x 1.5 x 1 meters, travels along the relevant waterway and automatically avoids obstacles, whether stationary or moving. At a speed of 2 knots - which corresponds to around 3.7 kilometers per hour - such a mission can last up to 20 hours. For visual mapping of the shore areas, TAPS has two cameras attached to a mast, each pointing to starboard or port and whose fields of view do not overlap. Due to their high resolution, they allow a visual inspection of relevant infrastructure, such as quay walls, as well as 3D modelling of the shore area based on the recorded image data.   "We use an automated system for intelligent image capture. As soon as one or both cameras are focused on a predefined area of interest, image recording is started. The vehicle's own movement is also used to store only image data that is recorded from different angles and therefore offers added value in terms of content," explains Boitumelo Ruf, expert in photogrammetry in the Autonomous Robot Systems research group at Fraunhofer IOSB. GNSS (Global Navigation Satellite Systems, such as GPS) and IMU (Inertial Measurement Unit for position determination) data serve as the…

🚗Understand how HL Klemove engineers integrated Polyspace Bug Finder and Polyspace Access into their automated continuous integration/continuous delivery (CI/CD) workflows, reducing code verification times (by 80%!), improving software quality, and fostering collaboration across and within teams. 😮 Ask me how you can accelerate your verification! #polyspace #autonomous https://spr.ly/6041glsGt

From calibration and validation to trajectory planning and performance evaluation, discover how motion capture drives efficiency, safety, and innovation in robotic applications in our latest blog post. Read more at the link in the comments.

A good paper shared by T-RO!

Forward-looking #compositemanufacturing companies are adopting AI-driven in-process #automaticinspection. These companies know that even the most well-trained and diligent human inspector has a limited ability to detect FOD, measure fiber orientation, or determine whether a ply edge is correctly positioned, especially on a large composite work-in-progress. And manual inspection is extremely slow, often extending your fabrication cycle by 35% or more. And automating inspection with profilometers, smart cameras or metrology equipment doesn’t measure up to the needs of large composite component manufacturers. Revolutionize your process with an AI-driven inspection system designed specifically for composites fabricators. Our automatic inspection system based on #machinevision and AI-enabled image analysis is proven to raise inspection accuracy well above 6 sigma reliability and to accelerate inspection processes by an order of magnitude compared to manual inspection. Now is the perfect time to see what this technology will do for you. Join us at #SAMPE24, Booth F2 to learn more. Schedule a personalized demo: https://lnkd.in/esMVbVG. 

[Factory Automation with On-board CV2 SoC in 3D Depth Cameras] 🏭 Enabling #Smart #Factories to implement and optimizing processes for next generation factory automation, the #LIPSedge™ S Series comes embedded with #Ambarella’s CV2 SoC for including computer vision and image analysis on-edge. 🚀 Ambarella's #CVflow is based on a deep understanding of core computer vision algorithms and includes a dedicated vision processing engine programmed with a high-level algorithm descriptions. Customers can efficiently map their own CNN networks trained with industry-standard tools, such as Caffe, TensorFlow, PyTorch, and run directly On-Edge with LIPSedge S205p Series. 📢 LIPSedge S205p comes as Industrial ready, including #IP67 Certification, Built-In heatsink, M12 Lock, firmware Watchdog for a #Persistent Connection, #IMU of 6 axis, #6H Protective Glass for Lenses, #GigE interface and PoE connection. Deploying AI directly on-Edge for power applications with 3D #Vision and #Image #Analytics has become possible and be materialized with the LIPSedge S series. For more information, you can visit: https://lnkd.in/g-NRch7E For more information write us to info@lips-hci.com for details. #AI #3DxAI #3DVision #3DDepth #FactoryAutomation #Robotics #Edge A.I.