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Object Identification

Lidar 2024-2034: Technologies, Players, Markets & Forecasts

For more information, visit https://www.idtechex.com/en/research-report/lidar-2024-2034-technologies-players-markets-and-forecasts/995. The global market for lidar in automotive will reach US$9.5 billion by 2034 TOF or FMCW detection; mechanical, MEMS, OPA, flash, liquid crystal and other solid-state lidar for ADAS, autonomous vehicles, industrial, smart city, security and mapping with automotive focus In recent years, with the development and progress of autonomous-driving […]

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Prompt Engineering in Vision

This blog post was originally published at Embedl’s website. It is reprinted here with the permission of Embedl. Recently, we have all witnessed the stunning success of prompt engineering in natural language processing (NLP) applications like ChatGPT: one supplies a text prompt to a large language model (LLM) like GPT-4 and the result is a

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The Role of 3D LiDAR Technology in ITS

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. Intelligent Transportation Systems (ITS) are crucial for enhancing road safety and efficiency. LiDAR brings these systems to a whole new level. With the integration of advanced technologies like 3D LiDAR, ITS are undergoing a transformation, offering unprecedented

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Detecting Real-time Waste Contamination Using Edge Computing and Video Analytics

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The past few decades have witnessed a surge in rates of waste generation, closely linked to economic development and urbanization. This escalation in waste production poses substantial challenges for governments worldwide in terms of efficient processing and

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Anonymous vs. Anonymized: Learn the Difference

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. Understanding anonymity in sensor data: discover the inherent privacy characteristics of each type of sensor data and the potential risks associated with anonymizing sensitive information. In the realm of computer vision, terms like ‘anonymized data’ frequently float

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Edge AI in Medical Applications

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded device which runs object-detection models can make everyday life easier for users with such

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STMicroelectronics Expands into 3D Depth Sensing with Latest Time-of-flight Sensors

Building on a leading position in direct Time-of-Flight sensors, with two billion FlightSense™ devices sold, ST reveals new direct and indirect Time-of-Flight sensors for key applications like camera assist, virtual reality, 3D webcam, robotics and smart buildings Market-first true all-in-one dToF LiDAR module with up to 2.3k zones, targets smartphone camera-assist and AR/VR applications The

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Tesla Adopts Radar for Interior Monitoring

With the shift towards electric vehicles, end-users are becoming less concerned about traditional differentiators like engine horsepower and are placing greater emphasis on smart interior functions. This trend is compelling automotive OEMs to invest more efforts in enhancing interior features, thereby adding greater value to their products and distinguishing them from other vehicles. Driven by

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An In-depth Comparison of LiDAR, Camera and Radar Technologies

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. This article explores the capabilities and limitations of each type of sensor, to provide a clear understanding of why LiDAR has emerged as a strong contender in the computer vision tech race. This article delves into the

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Do You Know When You Don’t Know Something?

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. We all have that one uncle in the family who knows the answer to every question. Even if that answer is often wrong. Let’s call him Uncle Bob. From politics to science, he confidently shares his opinion

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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