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China Automotive Infrared Night Vision System Research Report 2023 – OEMs Begin to Integrate ADAS with Infrared Night Vision Technology

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DUBLIN, Feb. 16, 2024 /PRNewswire/ — The “Automotive Infrared Night Vision System Research Report, 2023” report has been added to  ResearchAndMarkets.com’s offering.

During 2022-2023, the installations of NVS (night vision system) in new passenger cars in China went up at first and then down. From January to July 2022, the installations of NVS in new passenger cars in China was 13,300 sets, a like-on-like spurt of 141.9%; the full-year installations in 2022 reached up to 24,400 sets, jumping by 37.0% year on year; in the first seven months of 2023, the installations stood at 13,400 sets, up by 0.7% from the prior-year period, and the installation rate was 0.12%, on a par with 2022.

Automotive infrared night vision systems can be divided into active and passive types. Active infrared night vision is also called near-infrared night vision; passive infrared night vision falls into far-infrared night vision and low-light-level night vision.

Infrared detector, an important upstream product in the industry chain, heads in the direction of small pixel size and low cost.

An infrared thermal imager is a product used to detect the infrared radiation from an object, and convert the temperature profile of the object into a video image after photoelectric conversion, electric signal processing and digital image processing.

The core components of a thermal imager include lens, detector, following circuit and image processing software. Wherein, the infrared detector, also known as infrared focal plane detector, is an important part of a far-infrared night vision system, and is heading in the direction of small pixel size and low cost.

The advantage of small pixel size is that the smaller pixel size allows for chip size reduction, lowers chip cost, and further meets the requirements for miniaturization and integration of thermal imaging modules.

In terms of infrared technology, Raytron Technology, iRay Technology’s parent company, has expanded its 8um product family, and has completed development of the prototype samples of the 12801024 new products; it has laid out the 10um product family, and has trail-produced the 640512 new products in small volume; in April 2023, it displayed IR-Pilot 1920X, its first automotive infrared thermal imager that packs an 8um 19201080 infrared thermal imaging detector chip; in September 2023, it introduced an 8m VGA (640512) infrared thermal imaging detector chip. With these efforts, it promotes the development of global small-pixel infrared thermal imaging optics and image algorithms, facilitates the wide adoption of ultra-small pixel infrared focal plane detector chips in many new fields, and further cuts down the cost of automotive night vision systems.

Xuanyuan iDRIVE’s infrared detector application history and planning: used imported 25um detectors in 2015; used the self-developed 25um detector in ceramic packaging in 2018, with little improvement in resolution; used 12um detectors in wafer-level packaging in 2021, with the resolution increased to 640512; plan to use 10um wafer PLCC packaging in 2024, with two resolutions: VGA and SXGA. It shows that the size of detectors is getting smaller, the process is getting more mature, the resolution is getting higher and the cost is getting lower.

OEMs begin to integrate ADAS with infrared night vision technology.

Automotive night vision has begun to be integrated with ADAS. GAC Aion has adopted infrared sensing technology in its ADAS for the first time. The ADiGO Intelligent Driving System that integrates intelligent driving infrared sensing technology strengthens video capture and recognition capabilities in dark night, haze, and heavy rain environments.

Combined with the existing LiDAR, radar and visible light camera, this system acts as an active driving assistance safety strategy that integrates night vision/thermal imaging. The integration of night vision with ADAS allows thermal imaging to output video signals that have clear outlines and are easy to recognize, and helps to transmit the data to ADAS as a supplement to the uploaded perception data of other environments.

In July 2023, Aion Hyper GT, an ADAS-enabled production model integrated with infrared night vision technology, was available on market.

The subsequent extended applications of infrared night vision in ADAS also include intersection perception, multi-sensor data fusion, BEV spatial feature construction, image feature fusion perception, perceptual positioning and SLAM, stereo infrared, etc.

As concerns L4 autonomous driving, from Robotaxi nighttime road tests of Didi, AutoX, and WeRide, to DeepRoute.ai’s announcement of entering nighttime intra-city freight, it can be seen that there is great demand for night driving in the autonomous driving field. And driving safety at night makes infrared sensors an indispensable part.

Starting from January 3, 2023, Didi has increased its Robotaxi service hour to 24 hours. Didi’s autonomous vehicles with the latest software and hardware are equipped with a variety of sensors including visible light, LiDAR and infrared thermal imaging, which can recognize traffic lights and traffic signs up to 300 meters away, and enable stable recognition in backlight and night scenarios and also accurate recognition of minor obstacles.

Key Topics Covered:

1 Automotive Infrared Night Vision Technologies
1.1 Definition and Working Principle of Infrared Thermal Imager
1.2 Definition, Classification and Packaging Forms of Infrared Detector
1.3 Infrared Night Vision Technology
1.4 Definition of Automotive Night Vision Driving Assistance System

2 Automotive Infrared Night Vision System Industry Chain and Market
2.1 Automotive Infrared Night Vision Industry Chain
2.2 Market and Technology Trends
2.3 Global Automotive Night Vision System Market Size
2.4 Automotive Night Vision System Installation in China
2.5 Automotive Night Vision Camera Installation in China

3 Night Vision System Application of OEMs
3.1 Overview of Night Vision System Application of OEMs
3.2 BMW
3.3 Benz
3.4 Audi
3.5 Cadillac
3.6 VW
3.7 BYD
3.8 Voyah
3.9 Other Cases

4 Automotive Infrared Night Vision System Suppliers
4.1 Magna
4.2 Xuanyuan iDrive
4.3 Guangzhou SAT Infrared Technology
4.4 Shenzhen Tianzhi Automotive Electronic Technology
4.5 Bright Way Vision
4.6 Baolong Technology
4.7 KYOCERA
4.8 Lambda Night Vision

5 Automotive Infrared Night Vision Device Suppliers
5.1 Teledyne FLIR
5.2 AdaSky
5.3 Ophir
5.4 Stoneridge -Orlaco
5.5 Lynred
5.6 IRay Technology
5.7 Zhejiang Dali Technology
5.8 SEEK Thermal

For more information about this report visit https://www.researchandmarkets.com/r/kkt6kt

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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U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs

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WASHINGTON, July 23, 2026 /PRNewswire/ — The Quartz Manufacturers Alliance for America (QMAA) released a powerful video featuring quartz manufacturing workers from across the country calling for free and fair trade policies to save 100,000 American jobs. QMAA, a coalition of leading U.S.-based quartz slab manufacturers, are calling for strong safeguard remedies after the U.S. International Trade Commission (ITC) found a huge flood of foreign imports had caused tremendous injury to the domestic quartz industry.

QMAA members are urging the Trump Administration to build on the ITC’s strong recommendation and address this major flood of quartz imports with a Tariff of 50% and a Reshoring Import Cap of 141 million square feet on imported quartz surface products. This will ensure a reshoring of the good-paying U.S. quartz manufacturing jobs stolen by companies who cheat U.S. trade law, distort competition and are decimating U.S. quartz manufacturing. Together, these trade remedies will provide the relief necessary to save the 100,000 jobs supported by the U.S. quartz industry.

The video features workers from LX Hausys, Guidoni USA and Cambria Company and is available here:
Save 100,000 American Quartz Jobs

Quotes from QMAA Quartz Manufacturing Workers
“This facility used to be a Husqvarna plant. Husqvarna closed down due to cheap foreign imports. There were over 1,000 people working here and all of a sudden…I’m worried I may see the same thing take place again.”
-Raymond Mack, Production Operator, Guidoni USA, Helena-McRae, GA

“Foreign countries, mainly China, Thailand, Malaysia, Vietnam, Indonesia, have been circumventing and cheating the American market. We believe in the industry. We believe in the American working power. We just want to level the playing field, make it fair for everyone and everyone will benefit.”
– Daniel Vas de Melo SA, Business Development Manager, Guidoni USA, McRae-Helena, GA

“In order for us to continue to compete, we need a strong Tariff and Import Cap on imported quartz surfaces. That will ensure we can play on an even playing field. That’s all we’re asking for. I would hate to see cheap, imported quartz have a negative impact on families such as mine and the other families that we employ here.”
– Mike Morici, Vice President – LX Hausys, Adairsville, GA

“The surge of foreign imports has shocked the U.S. economy, and the market for surfaces. It’s taken prices down to unsustainably low levels for any domestic supplier. The result of that is we’re not producing as much as we should, we can’t hire as many people as we would like to, and we can’t grow our business in the way that we and our peers in the U.S. want to grow.”
– Andrew Eich, President and Chief Operating Officer, Cambria

“As these foreign imports flood the market, we lose the ability to create and sustain jobs that ensure good paying conditions for manufacturing workers. There will be over 100,000 jobs that have the strong potential to go away.”
– Jack Sundry, SVP Core and Lexus – Cambria, Southern Minnesota

Background
In September 2025, QMAA filed a Global Safeguard petition with the U.S. International Trade Commission (ITC) under Section 201 of the U.S. Trade Act of 1974. The ITC’s thorough investigation found serious injury to the domestic industry caused by a massive import surge designed to undercut American businesses. Quartz imports have surged by 78.3% within the past five years, leading to a nearly 20% decline in domestic production, factory closures and major job reductions.

A final safeguard decision from the United States Trade Representative is expected by Aug. 1, 2026.

About the Quartz Manufacturing Alliance for America:
QMAA is a coalition of U.S.-based, American quartz slab manufacturing factories, united with other industry leaders to support and strengthen the American quartz industry. QMAA is committed to ensuring a free and fair, competitive marketplace born of free enterprise that provides the opportunity to compete on a level playing field for American quartz slab manufacturing factories and their valued workers. We also believe this effort will have a positive impact throughout the entire quartz surfacing industry, including to the strong benefit of American stone fabrication shops and upstream suppliers of quartz minerals and resin. Learn more at: https://www.qmaa.org/

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SOURCE Quartz Manufacturing Alliance of America

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Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI

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Databricks and Microsoft extend strategic partnership through the 2030s to scale enterprise AIDatabricks deepens its bet on Azure, growing its use of Azure Databricks to run its own core business operations and analytics, while both companies advance native integration across the Microsoft stack, including Databricks Genie and Microsoft 365Databricks increases its use of Microsoft Azure Cobalt to improve performance and efficiency

REDMOND, Wash. and SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s. Databricks will deepen its use of Azure Databricks to run core business operations and build its unified lakehouse, while leveraging Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency. Microsoft will also continue integrating Databricks Data and AI platform across its products, bringing capabilities like Genie, Databricks’ AI co-worker, directly into customer workflows. Together, the companies are helping enterprises build AI grounded in their own business context with the cost efficiency, control and choice needed to scale successfully.

Enterprises want AI that understands their customers, products, operations, metrics and business processes, all while running securely where work happens. Yet, most still struggle to connect AI to trusted business knowledge, govern models and agents consistently, and control costs. Microsoft and Databricks are helping customers close that gap: 

“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, Co‑Founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”

“The next generation of AI will be defined by how effectively organizations turn their unique knowledge into intelligence,” said Judson Althoff, CEO, Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”

Databricks runs core business operations on Azure Databricks 

As part of this latest deal, Databricks deepens its commitment to Azure, running its own core business operations and analytics on Azure Databricks, using the very platform it delivers to customers at scale.

Advancing performance with Azure Cobalt

Databricks will also expand its use of Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency for agentic and data-intensive workloads. Databricks currently uses Cobalt 100 and plans to adopt Cobalt 200, which delivers up to 50% better performance and includes memory encryption enabled by default.

Deep integrations for Databricks Genie and Unity AI Gateway with Microsoft product stack

By combining the Databricks Data + AI Platform with Azure’s global scale, customers can accelerate AI transformation while maintaining control and reliability. As a native Azure service, Azure Databricks makes its AI capabilities available directly within customers’ existing Microsoft environment, grounding and operating agents on enterprise data with Genie and Genie Ontology, and governing models, agents and cost through Unity AI Gateway. Deeply integrated across the Microsoft ecosystem spanning Microsoft Entra, Azure Data Lake Storage, Azure security, Microsoft OneLake, Power BI, Microsoft Purview, Microsoft Foundry, Power Platform, Microsoft 365, Teams and Copilot, these capabilities bring governed, real-time data and AI into business workflows, giving organizations the context, control, choice and cost efficiency needed to drive impact.

Continued investment is evident from our recent announcements with Databricks at Data + AI Summit in June.

Customer impact with Azure Databricks

The deepened collaboration strengthens support for joint customers running data, analytics and AI workloads on Azure Databricks, delivering improved performance, security, AI governance and enterprise readiness. Thousands of customers, including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever, already use Azure Databricks to run critical workloads and scale AI with confidence.

Read more on the proven business value of the Databricks and Microsoft partnership on the Microsoft Azure blog.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including AT&T, Bayer, BMW Group, HSBC, T-Mobile, Unilever, and 70% of the Fortune 500 — rely on Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

 

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SOURCE Microsoft Corp.

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Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security

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Joint solution extends proven API gateway security to the AI era — with automated AI discovery and runtime AI protection

SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, and Kong Inc., a leading developer of API and AI connectivity technologies, today announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments.

According to The State of AI-Native Application Security 2025 report, as enterprises race to deploy AI at scale, 62% have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk — making embedded, infrastructure-level security more critical than ever. And companies are now deploying agents into their operations at an exponentially increasing rate, making it a necessity to protect the agents themselves and the systems interacting with those agents.

The two companies are extending their joint solution from Kong API Gateway to also include Kong AI Gateway, bringing Harness’s AI security intelligence directly into the AI infrastructure layer and enabling enterprises to discover, monitor, and protect every agent, AI asset, LLM-powered service, and MCP-connected workflow that traverses it.

A Proven Foundation: Harness and Kong API Gateway

Harness and Kong have been jointly trusted by enterprises to deliver best-in-class API security for years. The existing Harness and Kong API Gateway integration provides:

Comprehensive API traffic visibility and behavioral analysis across all Kong-managed servicesReal-time detection and blocking of API threats, including OWASP API Security Top 10 risks, credential stuffing attacks, and business logic abuseContinuous sensitive data tracking to identify PII exposure and regulatory riskZero-friction deployment alongside existing Kong configurations

This new offering of the AI Gateway solution applies the same level of security depth to AI infrastructure, ensuring that security teams are not left behind as their organizations adopt AI and agentic operations.

“Our partnership with Harness has given joint customers production-grade API security that works with the way they build, not against it,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “Extending to include Kong AI Gateway is a natural next step. The same enterprises are now moving AI into production through our gateway and need the same depth of visibility and control they’ve come to rely on for their APIs for all AI traffic types including LLM, MCP, and A2A. That’s exactly what this delivers and is crucial for organizations scaling in the agentic era.”

The New Frontier: Kong AI Gateway and Harness AI Security

As enterprises accelerate AI adoption, the attack surface has fundamentally shifted. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not designed to address. Unlike traditional software, AI agents are non-deterministic — the same agent can behave differently on consecutive runs, making it impossible to secure them the way you’d secure a static API. The new Harness and Kong AI Gateway integration directly tackles these challenges across two critical domains: AI discovery and AI protection.

AI Discovery
Harness automatically inventories every AI asset, API, MCP server, tool, prompt, and resource routed through Kong AI Gateway — providing security teams with a continuously updated catalog of their AI attack surface. No manual documentation. No blind spots.

AI Protection
Harness applies behavioral analysis and anomaly detection to AI traffic in real time, identifying prompt injection attacks, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI-specific threats. Enterprises gain the same depth of observability and protection for their agents and AI workloads that they already rely on for traditional APIs, with full prompt and response details available for incident investigation and inline policy enforcement through Kong AI Gateway.

“Shadow AI has become the defining security blind spot for enterprises today. Traditional tools were built for static code and predictable systems, not for adaptive AI models, agent-to-agent communication, and MCP-connected workflows that evolve continuously,” said Rahul Sood, GM of Application Security at Harness. “This integration of Harness AI Security with Kong puts security intelligence directly into the connectivity layer where AI traffic flows. Joint customers now have the visibility and control they need to move fast without losing sight of what’s happening across their AI infrastructure.”

Availability

The Harness and Kong API Gateway integration is generally available today for all joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now. Joint customers can contact their account team or request a demo.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

About Kong

Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

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SOURCE Harness

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