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China Automotive Intelligent Door Research Report 2023 Featuring 17 Intelligent Door System Suppliers

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DUBLIN, Feb. 15, 2024 /PRNewswire/ — The “China Intelligent Door Market Research Report, 2023” report has been added to  ResearchAndMarkets.com’s offering.

China Intelligent Door Market Research Report, 2023 analyzes and studies the features, market status, OEMs’ layout, suppliers’ layout, and development trends of intelligent doors in China.

In addition to components of conventional doors, intelligent doors add other components like door control unit, driver and sensor to enable intelligent functions such as intelligent unlocking, automatic door opening/closing, environmental perception, hovering on the slope, and even interaction and combination with other components. As vehicle intelligence develops, the demand for intelligent doors is increasing.

First, the installation rate of intelligent door functions has surged.

In terms of marketization degree, the intelligent door functions that have found wide application in vehicles include APP-controlled doors, door open warning (DOW), hidden electric door handles, frameless doors, electric suction doors, automatic door opening and closing, etc.

APP-controlled doors boast the highest installation rate, higher than 30% as of July 2023, followed by DOW with over 10%.

Hidden electric door handles and frameless doors make vehicles more stylish, with fast-growing installation rates.

Electric suction doors are largely mounted on mid-to-high-end models priced over RMB350,000, like Li L7/L8/L9 and NIO ET5. However, compared with 2022, they have begun to sink to models worth around RMB150,000, such as Leapmotor C11.

Still as a luxury configuration, automatic suction doors are available to fewer than 10 models valued at more than RMB300,000, including HiPhi Z, ZEEKR 001, Xpeng P7 and IM L7.

Second, doors are integrated with sensors to create intelligent entry modes.

In terms of door opening mode, digital keys and PEPS leverage communication modules to unlock vehicles. This is the mainstream entry mode at present. However, as sensors mature and biometric technology develops, installing cameras, fingerprint sensors, etc. on door handles, B-pillars or windows for unconscious unlock is expected to become the next-generation intelligent entry mode. At this stage, biometric recognition modes which are available to models to open doors mainly include gesture recognition, face recognition, fingerprint recognition, and finger vein recognition.

Suppliers are working to deploy biometric recognition modes for door opening.

ArcSoft’s 3D ToF gesture interaction solution offers detection depth information and enables face recognition for anti-counterfeiting, guaranteeing IVI login or door unlock.

Cerence has introduced Cerence Exterior Vehicle Communication, a new suite of AI and voice-powered innovations that enables drivers to interact with their cars from the outside. The system accurately recognizes voiceprint and content by voice to complete tasks such as unlocking the door, opening the trunk and turning on the light.

SenseTime’s SenseAuto Cabin-K is a complete “controller+module+trigger device+software” integrated solution based on high-precision face recognition, in-vivo detection and other recognition technologies. Combined with 3D modules and various human-computer interactions, it enables unconscious unlock by face. It meets payment-level security requirements, allowing cloud or local managers to intelligently manage vehicles.

Third, the trend for integrated door control is clear.

Amid the evolution of E/E architecture, body domain controllers present two major trends:

First, more functions are integrated on the basis of the original BCM. The decentralized function combination is transitioning to the integration of basic drives of all body electronics, key functions, lights, doors, windows, etc.

Second, the body domain is expected to be integrated with cockpit, domain and chassis domains in the cross-domain integration stage to accomplish a wider range of centralized control and functional linkage.

With domain controller architecture, OEMs can connect doors with cameras, radars, ambient lights, etc. to create intelligent entry and exit experience.

For example, HiPhi has developed the H-SOA (Hip Hi Service Oriented Architecture), consisting of six computing platforms to manage the vehicle: the infotainment domain computing platform (IDCM), the autonomous driving domain computing platform (ADCM), the power and chassis domain computing platform (VDCM), the body domain computing platform (BDCM), the central gateway (CGW) and the communication computing platform (V-Box).

Based on the H-SOA, the intelligent door system built by HiPhi is equipped with 6 electric NT doors, 6 motors, 4 position sensors, 12 ultrasonic sensors, 6 anti-collision and anti-pinch sensors, a rainfall sensor, and a body control computing platform to support multiple automatic entry modes (such as face recognition, mobile phone ID and intelligent key) and light interaction, creating intelligent access experience in different scenarios.

From the perspective of suppliers, door control units are heading in the direction of hardware centralization and software virtualization.

For instance, the next-generation door system electronic control unit developed by Brose integrates all door functions from window regulators and automatic door opening/closing to collision detection. Users only need to make a simple gesture, and then the side door will open and close automatically.

A radar sensor scans the surrounding environment in real time to prevent collisions. During driving, the in-car screen displays the data from the outside cameras in real time. Moreover the speaker control function can not only actively reduce noise, but also improve the sound quality of the vehicle entertainment system, thereby providing passengers with comfortable travel experience.

Brose will mass-produce its next-generation door system electronic control unit in 2025. A high-bandwidth wire harness is connected to the central controller, which can reduce more than 30 wire harnesses for corresponding doors, significantly saving space and cost, and solving problems about multi-sensor data processing and fusion, as well as low-latency and high-rate transmission of image data.

In terms of software, Brose’s BRAIN software system is a solution based on domain controllers. BRAIN integrates Brose’s PWM control, anti-pinch and other access systems and related control algorithms. Based on SOA-oriented modular development, this software system can be integrated into the electronic architectures of various models and major automakers’ systems.

BRAIN provides users with an easy-to-use graphical operation interface, that is, Composer. Besides more than 70 application scenarios defined by Brose, OEMs, third parties and even end users can customize and personalize the scenes through Composer. So far, the design of BRAIN has been initially completed, and the sample has been installed and demonstrated to the public. Related business negotiations are being held with quite a few Chinese and foreign OEMs.

Key Topics Covered:

1 Overview of Intelligent Door Market
1.1 Overview of Door System
1.2 Introduction to Intelligent Doors
1.3 Important Components of Intelligent Doors
1.4 Door Styling Design
1.5 Highlight Functions of Intelligent Doors
1.6 Intelligent Door Industry Chain
1.7 Intelligent Door Market Size
1.8 Intelligent Door Competitive Landscape
1.9 Function Comparison between Major Intelligent Door Vendors
1.10 DCU
1.11 Door Structure

2 Intelligent Door Access Modes
2.1 Overview of Intelligent Door Access Modes
2.2 APP-controlled Doors
2.3 Digital Key Access
2.3.1 Digital Key Market Size
2.3.2 Digital Key Application Scenarios
2.4 Gesture Recognition Access
2.4.1 Cases of Models Using Gesture Recognition to Open Doors
2.4.2 Gesture Recognition Access Solutions of Suppliers
2.4.3 Gesture-controlled Door Patents of OEMs
2.4.4 Gesture-controlled Door Patents of Suppliers
2.5 Face Recognition Access
2.5.1 Face Recognition Access Solutions of OEMs
2.5.2 Face Recognition Access Solutions of Suppliers
2.5.3 Face Recognition Access System Patents
2.6 Voice Access
2.6.1 Cases of OEMs Using Voice to Open Doors
2.6.2 Voice Access System Patents
2.7 Fingerprint Recognition Access
2.8 Finger Vein Recognition Access
2.9 Touch Access
2.10 Password Lock Access

3 Intelligent Door Market Segments
3.1 Electric Suction Doors
3.2 Frameless Doors
3.3 Hidden Electric Door Handles
3.4 PEPS
3.5 Suicide Doors without B-pillar
3.6 Electric Tailgates
3.7 Electric Side Sliding Doors

4 Lightweight Intelligent Door and Sealing Strip Market
4.1 Lightweight Doors
4.2 Door Sealing Strip

5 Intelligent Door Application of OEMs
5.1 OEMs’ Layout in Intelligent Access Modes
5.2 Features of OEMs’ Intelligent Doors
5.3 Electric Doors of Tesla Model X
5.4 Jaguar Land Rover’s Gesture-sensitive Door Opening System
5.5 Genesis GV60 Keyless Unlocking System with Face Recognition
5.6 HiPhi’s Intelligent Door System
5.7 Fully Electric NT Wing Door System of HiPhi X
5.8 Mirrored Doors of Hongqi
5.9 ZEEKR’s Intelligent Door System
5.10 Intelligent Inductive Automatic Door and B-pillar Face Recognition System of ZEEKR X
5.11 e-Latch Intelligent Electronic Door of Lexus
5.12 BMW’s Intelligent Doors

6 Intelligent Door System Suppliers
6.1 Brose
6.2 Magna
6.3 Edscha
6.4 Continental
6.5 Aisin
6.6 Hyundai Mobis
6.7 DJTECH
6.8 Minth Group
6.9 Yanfeng
6.10 Bethel Automotive Safety Systems
6.11 HI-LEX
6.12 Tuopu Group
6.13 Changzhou Kaicheng
6.14 Kiekert AG
6.15 Other Suppliers
6.15.1 Electric Door Motors of Ningbo Hengshuai
6.15.2 Antolin
6.15.3 Ziezone Auto Parts

7 Summary and Development Trends of Intelligent Doors
7.1 Installation Rate
7.2 Market Size
7.3 Sensor Integration
7.4 Function Integration
7.5 DCU Integration
7.6 Body Domain Control and Door Integration
7.7 Door Control Software
7.8 Lightweight
7.9 Door Structure

For more information about this report visit https://www.researchandmarkets.com/r/1jvftp

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Yiren Digital Accelerates Operating Efficiency Through AI Agent Deployment

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Broader AI adoption improves productivity across asset recovery and enterprise operations

BEIJING, July 23, 2026 /PRNewswire/ — Yiren Digital Ltd. (NYSE: YRD) (“Yiren Digital” or the “Company”), a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets, today announced measurable operating efficiency improvements as it continues to deploy AI agents across core enterprise workflows. Broader AI adoption is reducing manual intervention, increasing workforce productivity and creating greater operating leverage by automating high-volume processes across multiple business functions.

These deployments are a key component of Yiren Digital’s “All-in-AI” strategy and its broader transition from AI-assisted productivity toward agent-driven execution. By embedding AI agents into core workflows, the Company is creating reusable operating capabilities that can be deployed across its businesses, supporting greater efficiency and reducing the cost of extending automation into new functions.

“Our objective is not simply to automate individual tasks, but to fundamentally improve how work is performed across the enterprise,” said Mr. Ning Tang, Chairman and Chief Executive Officer of Yiren Digital. “As AI agents take on more of our high-volume, demanding workflows, the productivity gains are becoming a structural part of how we run the business, not a one-time efficiency project. We will continue to deepen AI integration across our existing businesses while extending reusable capabilities into additional verticals.”

The AI deployments are supported by the Company’s proprietary enterprise AI architecture, including MagiCube 2.0, its upgraded multi-agent platform. The platform provides common infrastructure for agents deployed across marketing, customer service, capital operations, risk management, compliance and research and development, with more than 10 reusable foundational capabilities, supporting enterprise-wide execution.

Measurable Operating Impact

Lower manual intervention: The human handling rate in asset-recovery operations decreased from 45.0% to 24.9%, representing a 20.1-percentage-point decline, an approximately 44.6% relative reduction in manual intervention.

Higher staff productivity: The number of service tickets handled per asset-recovery staff member within the applicable Month 1 workflow increased from 358 to 525, an improvement of approximately 47%.

Expanded agent adoption: AI agents accounted for 81% of service tickets within eligible Day 1 asset-recovery workflows in 2025, up from 50% in 2024. The Company also deployed AI agents selectively in later-stage workflows, accounting for 20% of eligible service tickets at Day 4, 14% at Day 16 and 20% at Month 2. Each percentage is calculated separately for the relevant stage and should not be interpreted as a sequential adoption trend.

Enterprise-wide reuse: MagiCube 2.0 supports agent deployment across six enterprise functions, allowing the Company to apply common AI capabilities to a broader range of regulated and high-volume workflows.

Enterprise-scale AI execution: The Fengchao AI voice agent processes approximately 1,500 hours of real-time speech-to-text activity each day. The LingShu intelligent marketing platform executes more than 1,700 tasks daily and generates individualized communication content in an average of 0.6 seconds.

Building Enterprise Operating Leverage Through AI

As AI deployment expands across the enterprise, Yiren Digital is increasingly shifting repetitive, high-volume tasks from human-assisted processes toward agent-driven execution. By combining AI agents with centralized orchestration and governance, the Company is improving operating consistency, strengthening workforce productivity and creating reusable capabilities that increase operating leverage as AI is deployed across additional business functions.

Yiren Digital plans to continue expanding agent-driven workflows across its credit and insurance operations, as part of its ongoing All-in-AI strategy, while strengthening the shared architecture and governance that support enterprise-wide AI deployment. These capabilities are designed to scale across multiple use cases and provide a foundation for the Company’s broader expansion into AI application-layer opportunities, including AI entertainment and AI-assisted language learning.

About Yiren Digital

Yiren Digital Ltd. is a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets. The Company leverages advanced artificial intelligence and emerging technologies to enhance customer experience, optimize capital efficiency, and expand financial inclusion. Following the regulatory filing of its in-house developed Large Language Model Zhiyu, and the significant enhancement of its MagiCube Agent platform, Yiren Digital is establishing a new growth engine to accelerate its evolution into an AI-native, multi-industry operating platform extending beyond traditional financial services. For more information, please visit https://ir.yiren.com.

Safe Harbor Statement

This press release contains forward-looking statements. These statements are made under the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “aim,” “anticipate,” “believe,” “estimate,” “expect,” “hope,” “going forward,” “intend,” “ought to,” “plan,” “project,” “potential,” “seek,” “may,” “might,” “can,” “could,” “will,” “would,” “shall,” “should,” “is likely to” and the negative form of these words and other similar expressions. This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” “target,” “confident,” and similar expressions. Forward-looking statements are based on management’s current expectations, assumptions, and assessments of current market and operating conditions. These statements involve inherent risks, uncertainties, and other factors, many of which are outside the control of the Company, and which could cause actual results to differ materially from those expressed or implied in such statements. Actual results may differ materially from those expressed or implied in forward-looking statements due to a variety of factors and other risks described in the Company’s filings with the U.S. Securities and Exchange Commission. All forward-looking statements speak only as of the date of this press release. The Company undertakes no, and expressly disclaims any, obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required under applicable law.

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SOURCE Yiren Digital Ltd.

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Infinium Edge Launches EdgeSites™, a New Infrastructure Model for Deploying AI Compute at Existing Commercial and Industrial Facilities

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EdgeSites delivers operational AI infrastructure in existing powered buildings — factory-built data center modules, waterless cooling, and ready in months without new construction or grid interconnection required.

SACRAMENTO, Calif., July 23, 2026 /PRNewswire/ — Infinium Edge™ today announced Infinium EdgeSites™, a development program that utilizes existing commercial and industrial facilities to deploy operational AI compute infrastructure. Built around Infinium Edge’s proprietary Edge Thermal Vectoring™ immersion cooling platform, EdgeSites enables high-density GPU deployments in existing buildings that were never designed as data centers — without new construction, without cooling water infrastructure, and without the multi-year grid interconnection timelines that constrain conventional large-scale data center development.

More than 20 million commercial and industrial electricity customers in the US are served by electrical infrastructure sized to peak demand – which industry research shows are utilized at only 40-60% on average. That unused headroom, capacity already contracted, energized, and sitting behind the meter, can support high-density AI compute without adding new load to the grid or waiting on a new interconnection.

At the center of the program is the Vector ONE™ — Edge’s factory-built, self-contained immersion cooling system designed to house 1 MW of AI compute capacity. Vector ONE units are engineered for deployment in standard commercial and industrial buildings, either indoors or outdoors, arriving pre-integrated, fully commissioned and require no municipal water connection. Installations are modular and scalable: additional units can be commissioned as site power and demand allow, without rebuilding the underlying infrastructure and occupy up to 70% less floor space than air-cooled equivalents.

Built for the Shift to Inference

As inference moves to displace training as the dominant AI workload, the growth opportunity is shifting towards small, distributed data centers that can be deployed quickly and sited where demand originates. Conventional data center developments are under compounding pressure from long utility interconnection queues, sometimes lasting years, pressure around water use, and general community and regulatory opposition enacting restrictions. Community opposition and regulatory friction delayed or blocked an estimated $156 billion in planned U.S. data center capacity in 2025 alone.

EdgeSites is purpose-built for the structural shift to inference and addresses key issues stalling conventional data center developments today. Each Vector ONE unit delivers 1 MW of inference-ready capacity inside an existing building, in a market that already has established electrical infrastructure, in a timeline measured in months rather than years. Multiple units can be used in tandem to deploy up to 10 MW of capacity at a single site.  The program converts the distributed inventory of underutilized industrial or commercial electrical capacity in the United States into a nationally scaled inference network. Vector ONE’s dry-cooler loop consumes no municipal water, making EdgeSites viable in markets where evaporative cooling has been restricted or banned.

“The data center industry has been answering an infrastructure shortage with a construction playbook — build new facilities, secure new grid connections, wait years for capacity to come online,” said Robert Schuetzle, CEO of Infinium. “That model cannot keep pace with AI deployment timelines. Infinium EdgeSites operate around different premises: the power already exists, the buildings already exist, and the technology now exists to put them to work. We are making operational what the industry has been treating as stranded.”

Deploying EdgeSites

As demand for AI compute continues to outpace available infrastructure and focuses on distributed inference needs, Infinium Edge is expanding the EdgeSites network with qualified host locations and compute partners.

Commercial and industrial property owners of industrial sites, distribution centers, warehouses, or large commercial properties with available electrical capacity benefit from receiving lease income from infrastructure they already own or control. Infinium Edge manages all aspects of site development and operations for installing and deploying the Vector ONE system. No capital investment or operational responsibility is required from the host.

AI companies, enterprises, and compute operators requiring infrastructure on compressed deployment timelines can access high-density, edge-proximate GPU capacity through a straightforward capacity agreement, priced by the kilowatt-month, with backup power included in the capacity fee. There is no construction to manage, no permitting process to navigate, and no cooling infrastructure to operate or maintain.

Infinium Edge manages the full program from development and installation to operation and monitoring— simplifying development and data center management for AI companies and enterprises.

Reach out to learn more and partner in EdgeSites deployments.

Inquiries: www.infinium.ai/edgesites

About Infinium Edge™
Infinium Edge™ is the advanced AI data center infrastructure platform from Infinium, delivering high-density, sustainable compute through proprietary single-phase immersion cooling technology. Infinium Edge is the only North American producer of Fischer-Tropsch immersion fluids and offers a full-stack platform — including Edge Thermal Vectoring™ platform, Vector ONE™ modular AI Factory units, ETV100 immersion fluids, and integrated monitoring systems — engineered for the thermal and operational demands of AI and high-performance computing at scale. For more information, visit www.infinium.ai.

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SOURCE Infinium

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ChipMOS SCHEDULES SECOND QUARTER 2026 FINANCIAL RESULTS SEMIANNUAL CONFERENCE CALL

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HSINCHU, July 23, 2026 /PRNewswire-FirstCall/ — ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS), an industry leading provider of outsourced semiconductor assembly and test services (“OSAT”), today announced that it will report second quarter 2026 results and host a semiannual conference call after the close of trading on the Taiwan Stock Exchange on Tuesday, August 11, 2026.

Investors and analysts are encouraged to participate in the semiannual conference call using the dial-in phone number noted below. A webcast and replay will be available on the Company’s website.

Date: Tuesday, August 11, 2026
Time: 3:00PM Taiwan (3:00AM New York)
Dial-In: +886-2-3396 1191
Password: 1637011 #

Semiannual Conference Call Webcast and Replay: https://www.chipmos.com/chinese/ir/info2.aspx
Replay: Starts Approximately 2 hours after the live call ends

Language: Mandarin

Note: A transcript will be provided on the Company’s website in English following the semiannual conference call to help ensure transparency, and to facilitate a better understanding of the Company’s financial results and operating environment.

About ChipMOS TECHNOLOGIES INC.:
ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS) (www.chipmos.com) is an industry leading provider of outsourced semiconductor assembly and test services. With advanced facilities in Hsinchu Science Park, Hsinchu Industrial Park and Southern Taiwan Science Park in Taiwan, ChipMOS is known for its track record of excellence and history of innovation. The Company provides end-to-end assembly and test services to leading fabless semiconductor companies, integrated device manufacturers and independent semiconductor foundries serving virtually all end markets worldwide.

Forward-Looking Statements:
This press release may contain certain forward-looking statements. These forward-looking statements may be identified by words such as ‘believes,’ ‘expects,’ ‘anticipates,’ ‘projects,’ ‘intends,’ ‘should,’ ‘seeks,’ ‘estimates,’ ‘future’ or similar expressions or by discussion of, among other things, strategies, goals, plans or intentions. These statements may include financial projections and estimates and their underlying assumptions, statements regarding current macroeconomic conditions, including the impacts of high inflation, foreign exchange rates and risk of recession, on demand for our products, consumer confidence and financial markets generally; changes in trade regulations, policies, and agreements and the imposition of tariffs that affect our products or operations, including potential new tariffs that may be imposed and our ability to mitigate with respect to future operations, products and services, and statements regarding future performance. Actual results may differ materially in the future from those reflected in forward-looking statements contained in this document, based on a number of important factors and risks, which are more specifically identified in the Company’s most recent U.S. Securities and Exchange Commission (the “SEC”) filings. Further information regarding these risks, uncertainties and other factors are included in the Company’s most recent Annual Report on Form 20-F filed with the SEC and in its other filings with the SEC.

Contacts:

In Taiwan

Jesse Huang

ChipMOS TECHNOLOGIES INC.

+886-6-5052388 ext. 7715

IR@chipmos.com

In the U.S.

David Pasquale

Global IR Partners

+1-914-337-8801

dpasquale@globalirpartners.com

 

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SOURCE ChipMOS TECHNOLOGIES INC.

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