Integrated Solutions
Demand-led system solutions that bring together alliance members’ technologies, products and services, with commercial value and real-world deployment.

Solutions assembled by the alliances
This page lists solutions put forward jointly by alliance members, with the companies involved, the integration architecture and where each applies, for an initial comparison.
Published solutions

Integrated ADAS sensing and optical lighting
Sensor fusion links vehicle cameras and lamp optics, moving suppliers from single parts to intelligent system modules. Companies: 緯恩工業 (Wei En) and 虎山實業 (Hushan).
How companies use this directory
Compare before contact
Filter by industry and maturity to build a shortlist.
Request a referral
Describe your need; we confirm interest on both sides first.
Verify independently
Carry out your own due diligence on technical and commercial claims after first contact. Listing a company is not an endorsement.
What integrated solutions are, and who they are for
The integrated solutions page lists solutions put forward jointly by members of the four industry alliances of TINAI, the Taiwan Industrial Network of Alliances for Investment. Each entry names the participating companies, the integration architecture and where the solution applies. It is meant for overseas buyers, systems integrators and companies looking for Taiwanese supply partners, who can use it for an initial comparison. Two solutions are published: the Automotive Components Alliance's integrated ADAS sensing and optical lighting solution, and the Digital Industries Alliance's AI Vision Application.
Each solution is built by two member companies, each supplying one part of the offer, and combined into a system that can be adopted together. Compared with a single product, the buyer deals with one integrated offer rather than coordinating specifications and delivery with several suppliers. The content is supplied by the participating companies and the alliance and has not been independently verified, so each claim below should be read as the companies' own account.
Integrated ADAS sensing and optical lighting
Wei En (緯恩工業) and Hushan (虎山實業) take part. The solution links vehicle cameras to lamp optics through sensor fusion, with the aim of moving from single-part supply to intelligent system-module supply. Wei En is a lamp maker covering headlamps, tail lamps, fog lamps, daytime running lights and truck lamps. Hushan is an aftermarket auto-parts maker whose products include door handles, vehicle cameras and parking sensors.
The description lists five industry pain points: rising cross-domain integration thresholds, limited capability in complex optical systems, regulatory and certification pressure, supply chains that require modular delivery, and thin capacity in large-part manufacturing and service. It adds that optical design, lamp mechanics, cameras and sensing modules must be designed together, and that a traditional division of labour lengthens development. Lamps must also meet international schemes such as ECE and SAE.
The integration architecture has five layers. The vehicle application layer covers scenarios such as automatic high beam and cornering light. The perception layer fuses image and sensor signals. The lighting control layer adjusts beam and brightness to context. The optics and lamp layer covers optics, structure, thermal behaviour and reliability. The manufacturing and compliance layer covers large-part molding and tooling, plus paths to international certification.
Claimed value and export scenarios
The description states value in four areas. On cost, modular supply lowers the customer's system-integration and multi-supplier coordination costs, and integrated design and manufacturing cut trial molds and rework. On efficiency, optics, sensing, structure and manufacturing work in parallel, specifications can be reused and extended, and later projects start faster.
On sustainability, modular design raises the share of common parts and eases repair and replacement, reducing consumables and scrap. On market position, the product moves from a conventional part to an intelligent exterior and system component. No quantified results accompany them, so this page does not treat them as proven outcomes.
Two export markets are named. The United States emphasises compliance under SAE and stable volume delivery, which suits entry through modular supply. Europe applies strict lighting requirements under ECE, which suits high-grade optics and certification-led design. Use cases include intelligent lamp modules, system-level supply of exterior parts, and larger vehicle components such as reservoir tanks and engine covers.
AI Vision Application
AI Vision Application belongs to the Digital Industries Alliance. It combines rugged edge-AI industrial computers with AI image training and edge inference systems. The participating companies are Aplex Technology and 慧穩科技 (Huiwen), both listed in the smart manufacturing sub-alliance. Aplex supplies rugged edge-AI computers and outdoor human-machine interfaces. Huiwen develops an AI image and data training platform and supplies edge inference systems and an enterprise AI assistant.
Together they cover the path from image training to inference on site. At present only the title and the participating companies are published. The industry pain points, integration architecture, business value and use cases have not been supplied, and readers should ask. To assess similar capability, readers can look at other smart manufacturing members, such as MaxAIOT, which offers edge computing and machine vision, and 晶達光電 (Jingda Guangdian), which makes sunlight-readable industrial displays. Neither takes part in this solution, and their mention here is not a statement about its design.
How the alliances assemble solutions
By the alliances' own strategies, solutions come from integration among members. The Digital Industries Alliance's strategies include product integration to export system solutions and a platform that creates a regular flow of business opportunities. The Automotive Components Alliance's strategies include market expansion through several export models. This page shows concrete combinations those strategies have produced. It does not show everything the alliances can do, and members may form other combinations that are not yet public.
A company uses the directory in three steps. First, compare before contact: filter by industry and maturity to build a shortlist. Second, request a referral: describe the need on the form, and we confirm interest on both sides before referring. Third, verify independently: carry out due diligence on technical and commercial claims after first contact. A listing does not mean a company has been verified.
Before requesting a referral, a company may find it useful to settle its target application, target market, specification or certification requirements, and a rough sense of volume and lead time. This is our suggestion, not a form requirement. If neither published solution is close, the corporate needs page lets a company pose its own challenge, which the alliances answer with a cross-domain team.
Frequently asked questions
Have these solutions been independently verified?
No. Content is supplied by the participating companies and their alliance. Stated value is the companies' own claim and calls for your due diligence.
Which solutions can I compare today?
Two are published: the Automotive Components Alliance's integrated ADAS sensing and optical lighting solution, and the Digital Industries Alliance's AI Vision Application. The Semiconductor and Health & Wellness alliances have not yet published one.
How do I reach the companies behind a solution?
Describe your need on the collaboration request form. We confirm interest on both sides before referring and never contact anyone automatically. The parties then discuss details directly.
What if no published solution fits?
Pose the challenge through the corporate needs page. A real R&D, process or market need goes to the platform, and the four alliances form a cross-domain team to respond.


