Connect with us
MARE BALTICUM Gaming & TECH Summit 2024

Uncategorized

IDTechEx Discusses New Trends: Radar Modules and ToF Cameras for In-Cabin Sensing

Published

on

idtechex-discusses-new-trends:-radar-modules-and-tof-cameras-for-in-cabin-sensing

 

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 regulations such as Euro NCAP, driver monitoring systems (DMS) have gained significant traction and have transitioned from a luxury feature to a new norm. As of 2024, most DMS utilize 2D near-infrared (NIR) cameras. Due to their relatively low costs, they are anticipated to be increasingly adopted, emerging as the dominant enabling technology for DMS. For automotive OEMs to further set themselves apart from competitors, advanced features such as gesture control, child presence detection, and seat belt detection are also expected to gain momentum, especially in mid to high-end vehicles. Currently, the 3D time-of-flight camera stands out as the most widely used technology for DMS, while some automotive OEMs, such as Volvo and Tesla, are incorporating in-cabin radar modules.
Radar has played an important role in advanced driver assistance systems (ADAS) for over two decades. Utilizing radio waves with a frequency-modulated continuous wave (FMCW) coding system, radars can accurately measure the distance and relative velocity of objects within their field of view. However, historically, radar modules have predominantly been employed for exterior sensing rather than interior applications.
As of 2023, according to Tesla’s website, the in-cabin radar operates within a frequency range of 60GHz to 64GHz, falling within the license-free ISM band. The detection distance of these radar modules typically ranges from 0.4 meters to 2 meters, effectively covering the interior space. Though unconfirmed officially by Tesla, recent news suggests that their cybertruck is equipped with in-cabin radar modules for occupant monitoring, including functions such as child presence detection and seat belt reminders.

Comparison of radar manufacturers and prices. It is worth noting that NXP’s radar operates at a higher frequency band, and IDTechEx believes that this frequency band is likely used for exterior monitoring instead of interior monitoring. Source: IDTechEx – “In-Cabin Sensing 2024-2034: Technologies, Opportunities and Markets”

Similar to radar modules, 3D Time-of-Flight (ToF) cameras also find application in occupant monitoring. 3D ToF cameras operate by utilizing near-infrared illuminators like LEDs or vertical cavity surface emitting lasers (VSCELS), in conjunction with image sensors. However, privacy concerns surround the use of cameras, even though some suppliers assert that they can address this issue by either blurring people’s faces or storing data solely onboard.
An additional limitation of 3D ToF cameras is that, unlike in-cabin radar modules, they are unable to detect people or objects through obstacles. Furthermore, due to their reliance on computer vision technology, cameras necessitate intricate algorithms and recalibration, introducing technical complexity to their implementation. Despite these drawbacks, some suppliers are actively working to address privacy concerns and improve the overall capabilities of 3D ToF cameras for occupant monitoring in automotive applications.

Benchmark of OMS Technologies. Source: IDTechEx – “In-Cabin Sensing 2024-2034: Technologies, Opportunities and Markets”

As of now, 3D ToF cameras are more well-adopted for OMS and have advanced features compared with radar modules. However, by comparing the costs and functions of radar modules and 3D ToF cameras, IDTechEx believes there are potential opportunities for radar modules. 3D ToF cameras are adopted in Li Auto L9, BMW iX, and the new ARCFOX αS series, whereas radar modules are expecting adoption in Tesla and Volvo.

Cost estimation of ToF Camera Package. Source: IDTechEx – “In-Cabin Sensing 2024-2034: Technologies, Opportunities and Markets”
Author: Yulin Wang, Senior Technology Analyst at IDTechEx

The post IDTechEx Discusses New Trends: Radar Modules and ToF Cameras for In-Cabin Sensing appeared first on HIPTHER Alerts.

Continue Reading

Uncategorized

Eddid ONE and Eddid ONE USA Expand Global Coverage

Published

on

eddid-one-and-eddid-one-usa-expand-global-coverage

 
Eddid Financial (“the Group”) announces that its intelligent trading application Eddid ONE and the premier US stock trading application Eddid ONE USA* have expanded their global coverage to 22 countries and regions. The apps are now officially launched on Google Play and App Store in respective markets, providing clients with advanced and convenient proprietary intelligent services.
The apps are now available in 22 key global markets across six continents, including Hong Kong, the United States, the United Kingdom, Australia, Taiwan and Japan. Going forward, expansion plans are in place to reach additional emerging markets as the Group continues building out its global network.
Eddid ONE and Eddid ONE USA* have long been favored by the market for their clean interface and versatile functions. Specifically, Eddid ONE includes AI assistants in addition to real-time market data, proprietary trading strategies, research reports etc., but also come with AI assistants. Utilizing big data and AI technologies, the assistants provide personalized intelligent services, including predicting market trends and target stock prices to cater to diverse investor needs.
Clients can now keep abreast of the latest global market developments anytime, anywhere by using Eddid ONE and Eddid ONE USA*. This allows them to enjoy the Group’s one-stop proprietary intelligent trading services no matter where they are. Going forward, Eddid Financial will continue leveraging its leadership in fintech innovation to further enhance Eddid ONE and Eddid ONE USA*, with the commitment to deliver an even more comprehensive, efficient and secure financial services experience.
* *Always consider the risks when investing.
The post Eddid ONE and Eddid ONE USA Expand Global Coverage appeared first on HIPTHER Alerts.

Continue Reading

Uncategorized

Gcore Recognised as Highly Commended in the Industry Innovator Category at the EMEA NVIDIA Partner Network Awards

Published

on

gcore-recognised-as-highly-commended-in-the-industry-innovator-category-at-the-emea-nvidia-partner-network-awards

Gcore, the global edge AI, cloud, network, and security solutions provider, today announced its recognition as ‘Highly Commended’ in the Industry Innovation category at the NVIDIA Partner Network Awards EMEA 2024 for its groundbreaking Speech-to-Text Translator.
The NVIDIA Partner Network Awards celebrate the exceptional contributions of partners exhibiting outstanding efforts, unwavering commitment, and innovative spirit in accelerated computing and AI. The Industry Innovation Award recognises partners who have spearheaded transformation within a specific industry or field.
Gcore used artificial intelligence to launch the first advanced machine learning model for speech-to-text translation from English to Luxembourgish. The model can be used to translate entire recordings for various mediums, including theatre, film, or music, from English into Luxembourgish text – for example, in the form of film subtitles.
Gcore is currently working on enabling real-time translations for use during conferences and events. The company’s future plans also include adding other commonly used languages in Luxembourg, such as French and German, to the translation tool, making speech-to-text translation a key mode of cross-language communication.Speech-to-Text Translator is part of Gcore’s state-of-the-art edge AI solutions, which also include GPU Cloud for AI training and Inference at the Edge for AI inference, all powered by NVIDIA GPUs.
Commenting on the award, Andre Reitenbach, CEO of Gcore, said: “We are delighted to receive this recognition from the NVIDIA Partner Network. Aware of the growing demand from the Luxembourgish public, expats, and local businesses for translation from English to Luxembourgish, Gcore is committed to making communication seamless and efficient. Our groundbreaking AI app for speech recognition sets a new standard, demonstrating our leadership in edge AI services. We are honoured to be acknowledged by the NVIDIA Partner Network for our innovative contribution to the AI landscape.”
“AI fosters communication and connection through its ability to translate across languages,” said Dirk Barfuss, Director of EMEA Channel at NVIDIA. “Gcore is recognized as 2024 EMEA NPN Highly Commended in the Industry Innovator category for its achievements in creating the first advanced speech-to-text translation from English to Luxembourgish, powered by NVIDIA GPUs.”
Gcore’s model was built on Whisper Small – the downsized version of the open-source Whisper model, containing 244 million weights. To meet this substantial demand for computing resources, Gcore used a high-end solution powered by the NVIDIA A100 Tensor Core GPU.
The post Gcore Recognised as Highly Commended in the Industry Innovator Category at the EMEA NVIDIA Partner Network Awards appeared first on HIPTHER Alerts.

Continue Reading

Uncategorized

CCI Initiates Study on AI’s Influence on Competition, Efficiency, and Innovation

Published

on

cci-initiates-study-on-ai’s-influence-on-competition,-efficiency,-and-innovation

 
The Competition Commission of India (CCI) is gearing up to conduct a comprehensive study on the impact of Artificial Intelligence (AI) on competition, efficiency, and innovation.
This initiative comes in response to the growing significance of AI across various sectors. With the aim of fostering innovation and fair competition, the CCI has announced plans to delve into the evolving landscape of AI and its application in Indian markets.
In a recent announcement, the CCI issued a request for proposal to engage an agency to conduct this market study. The study aims to provide insights into the emerging competition dynamics within AI ecosystems, along with assessing the implications of AI applications for competition, efficiency, and innovation across key user industries.
Key focus areas of the study include understanding the AI ecosystem, analyzing its applications in different industries, evaluating its impact on competition within sectors, and examining the regulatory frameworks governing AI development in India and other major jurisdictions.
Additionally, the study will explore strategies for fostering a competitive environment that encourages both incumbent AI developers and new innovators. It will also address measures for creating awareness among stakeholders regarding AI usage and its implications on competition, alongside ensuring compliance with necessary standards.
To facilitate this study, the selected agency will be tasked with collating existing research and data, as well as engaging with relevant stakeholders. The deadline for submission of bids is June 3, with the opening of financial bids scheduled for June 26.
This initiative underscores India’s commitment to understanding and harnessing the potential of AI while ensuring fair competition and promoting innovation. It aligns with the CCI’s broader efforts to address emerging challenges in the digital economy and safeguard competition in the market.
By conducting this study, the CCI aims to equip itself with valuable insights that will inform future regulatory decisions and strategies related to AI development and its impact on competition dynamics in India.
Source: business-standard.com
The post CCI Initiates Study on AI’s Influence on Competition, Efficiency, and Innovation appeared first on HIPTHER Alerts.

Continue Reading

Trending