SiLC Technologies, Inc’s Post

SiLC Technologies, Inc

5,994 followers

1mo

We couldn’t agree more – together we advance! Thank you AMD for sharing our collaboration.

AMD

1,510,788 followers

1mo

SiLC Technologies, Inc's Eyeonic Vision Sensor redefines LIDAR using AMD adaptive SoCs to quickly measure the distance, range, and speed of moving objects. Learn more: https://bit.ly/3KxTEVj #TogetherWeAdvance #AI #Vision

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Bahram Jalali

Distinguished Professor Emeritus, Entrepreneur, National Academy of Engineering

1mo

Great work SILC team!

3 Reactions

Thomas Dean Gibson

1mo

But I Could Calculate This In Cars With Ultra Sound With Time From Distance And Back And Also I Can Calculate Distance In C Programmed Also Ace Self Automat Park In For Automobils And This For Cheap Price Without Sil Poison Gas

Sebastian Stamm

Head of Business Unit Biophotonics & Materials at Toptica Photonics

1mo

great news, looks like a perfect match!

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AMD Eyeonic Vision Sensor using SoCs
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SiLC Technologies, Inc's Eyeonic Vision Sensor redefines LIDAR using AMD adaptive SoCs to quickly measure the distance, range, and speed of moving objects. Learn more: https://bit.ly/3KxTEVj #TogetherWeAdvance #AI #Vision
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CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about Cron AI : https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware
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Enhancing AI Precision with Top-Tier LiDAR Data Labeling! In the realm of AI-driven decision-making, accuracy is paramount and that's precisely what Frinksyn AI brings to the table with our unparalleled LiDAR annotation services. - Our commitment to excellence shines through in every detail. From crafting intricate 3D point clouds to enabling spot-on object detection and insightful semantic segmentation, we're your partners in achieving results that exceed expectations. - Leveraging cutting-edge technologies and refined techniques, we ensure the utmost accuracy and precision in every annotation. When you choose Frinksyn AI, you're choosing the future of AI-powered insights. - Learn more about how our LiDAR annotation services can elevate your AI systems to new heights. Connect with us today! #AI #LiDAR #DataLabeling #PrecisionInsights #Innovation #TechExcellence

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Foxglove

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Visualized with Foxglove 😍 SLAM (Simultaneous Localization And Mapping) is a critical component of robotics. Doing it with radar-only, without relying on GPS, IMU, or much more dense lidar, is very impressive. Exciting stuff Perciv AI!

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Friday Sneak Peek: Unveiling 📡Radar-Based SLAM 🗺️ 💥 In a previous post we have shown our our advancements with LiDAR based localization and mapping, but today, we’re excited to reveal something new: 📡Radar-Based SLAM 🗺️ (Simultaneous Localization and Mapping). Take a look at this fascinating video 🎥 created by our talented colleague, Marco de Böck. 📍Driving through the always-busy campus of Delft University of Technology, notice how our innovative radar-only method reliably maps the environment over time, and estimates the car's position and velocity correctly despite the numerous moving objects (so many cyclists in the Netherlands 🇳🇱🚴♀️!). Remember, only radar is used to do this, no camera, no gps, no lidar, not even IMU. Why is radar-only ego-pose and velocity estimation is so important? 🔹 Increased Redundancy for Localization: It serves as an additional input for localization, crucial in GPS-denied areas like parking garages or in adverse weather. 🔹 Ego-Motion Compensation: Radar uniquely measures the velocity of objects relative to the vehicle. However, how to tell if the ego-car is moving, or the cyclist ahead of us? To do this, we need to know our own velocity first. By doing radar SLAM, we achieve that without depending on other sensors, making our system independent. 🔹 Enhanced Scene Awareness: A detailed map of both moving and static objects provides valuable data to our AI-driven, scene-aware radar perception stack, enhancing performance and safety. Stay tuned as we continue to extend the capabilities of radar technology at Perciv AI, and congrats to Marco de Böck for the nice work! #ai4radar #perceptionradar #perciv #SLAM #radar_only #RadarTechnology #AI #AutonomousDriving #Innovation #PercivAI #TUDelft Andras Palffy Srimannarayana Baratam Balazs Szekeres
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CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/d8wSrdh6 https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware
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Luigi C.
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CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/d8wKDhm2 https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware
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Shweta Patel

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Designing Lidar systems requires perfect balance between precision and cost-effectiveness, while also addressing challenges in environmental conditions and real-time data processing. The 2.5GS/s P2584M from Tabor Electronics Ltd. is an ideal candidate for Lidar scenario testing, especially for multi-target test, AI Algorithm training and compliance to standards/regulations. With four channel P2584M, it could emulate four independent high-resolution targets pulses to test the AI algorithm – as it’s an AWG it could also emulate FMCW modulation as well. To know more chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://lnkd.in/grx6fxES #Lidar #Lidartechnology #AWG #AI
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