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Asia has long dominated the display module TFT LCD manufacturers’ scene. After all, most major display module manufacturers can be found in countries like China, South Korea, Japan, and India.

In this post, we’ll list down 7 best display module TFT LCD manufacturers in the USA. We’ll see why these companies deserve recognition as top players in the American display module industry.

STONE Technologies is a leading display module TFT LCD manufacturer in the world. The company is based in Beijing, China, and has been in operations since 2010. STONE quickly grew to become one of the most trusted display module manufacturers in 14 years.

Now, let’s move on to the list of the best display module manufacturers in the USA. These companies are your best picks if you need to find a display module TFT LCD manufacturer based in the United States:

Planar Systems is a digital display company headquartered in Hillsboro, Oregon. It specializes in providing digital display solutions such as LCD video walls and large format LCD displays.

Microtips Technology is a global electronics manufacturer based in Orlando, Florida. The company was established in 1990 and has grown into a strong fixture in the LCD industry.

What makes Microtips a great display module TFT LCD manufacturer in the USA lies in its close ties with all its customers. It does so by establishing a good rapport with its clients starting from the initial product discussions. Microtips manages to keep this exceptional rapport throughout the entire client relationship by:

Displaytech is an American display module TFT LCD manufacturer headquartered in Carlsbad, California. It was founded in 1989 and is part of several companies under the Seacomp group. The company specializes in manufacturing small to medium-sized LCD modules for various devices across all possible industries.

The company also manufactures embedded TFT devices, interface boards, and LCD development boards. Also, Displaytech offers design services for embedded products, display-based PCB assemblies, and turnkey products.

Displaytech makes it easy for clients to create their own customized LCD modules. There is a feature called Design Your Custom LCD Panel found on their site. Clients simply need to input their specifications such as their desired dimensions, LCD configuration, attributes, connector type, operating and storage temperature, and other pertinent information. Clients can then submit this form to Displaytech to get feedback, suggestions, and quotes.

A vast product range, good customization options, and responsive customer service – all these factors make Displaytech among the leading LCD manufacturers in the USA.

Products that Phoenix Display offers include standard, semi-custom, and fully-customized LCD modules. Specifically, these products comprise Phoenix Display’s offerings:

Clients flock to Phoenix Display because of their decades-long experience in the display manufacturing field. The company also combines its technical expertise with its competitive manufacturing capabilities to produce the best possible LCD products for its clients.

True Vision Displays is an American display module TFT LCD manufacturing company located at Cerritos, California. It specializes in LCD display solutions for special applications in modern industries. Most of their clients come from highly-demanding fields such as aerospace, defense, medical, and financial industries.

The company produces several types of TFT LCD products. Most of them are industrial-grade and comes in various resolution types such as VGA, QVGA, XGA, and SXGA. Clients may also select product enclosures for these modules.

All products feature high-bright LCD systems that come from the company’s proprietary low-power LED backlight technology. The modules and screens also come in ruggedized forms perfect for highly-demanding outdoor industrial use.

LXD Incorporated is among the earliest LCD manufacturers in the world. The company was founded in 1968 by James Fergason under the name International Liquid Xtal Company (ILIXCO). Its first headquarters was in Kent, Ohio. At present, LXD is based in Raleigh, North Carolina.

We’ve listed the top 7 display module TFT LCD manufacturers in the USA. All these companies may not be as well-known as other Asian manufacturers are, but they are equally competent and can deliver high-quality display products according to the client’s specifications. Contact any of them if you need a US-based manufacturer to service your display solutions needs.

We also briefly touched on STONE Technologies, another excellent LCD module manufacturer based in China. Consider partnering with STONE if you want top-of-the-line smart LCD products and you’re not necessarily looking for a US-based manufacturer. STONE will surely provide the right display solution for your needs anywhere you are on the globe.

When working with a 20×4 character LCD, you might be surprised to see the controller set to 2-line mode: Write_To_LCD(COMMAND,0x38); //SET 2 LINE,5*8 FONT Why would a 4-line LCD’s controller be set to 2-line mode? It has to do with the way the LCD glass is laid out. Essentially the display is the right and … Read more FAQ: Why does the initialization code for a 20×4 LCD specify 2-line mode?

What is involved in ISO certification (and annual recertification) and what does it mean for a company to be ISO certified? This post takes a deeper look at everything involved in ISO certification for our LCD electronics-based company.

Confused about the differences between TFTs, LCDs, and OLEDs? What Do They Stand For? TFT stands for Thin Film Transistor (shorthand for “Active Matrix TFT LCD”) LCD stands for Liquid Crystal Display (shorthand for “Passive Matrix LCD) OLED stands for Organic Light Emitting Diode How Do They Work? TFT displays are also known as an “Active Matrix TFT LCD module” … Read more FAQ: What is the Difference Between a TFT, LCD, and OLED?

Sherman, set the wayback machine to 1985: We are going to take a look at the original HD44780 Data Sheet. Some time back, we wrote about the legendary HD44780 controller, to which the modern character LCD industry owes much of its existence. Having been in the business of designing embedded electronics for some time, we … Read more A Look Back in Tech History: The HD44780 Controller Data Sheet

Modern Character LCD display modules have been possible since 1987 when Hitachi introduced the HD44780 LCD controller. Since then, Hitachi no longer manufactures this integrated circuit (IC), but modern LCD controller ICs make it a point to be HD44780-compatible. Controller Compatibility The character LCD display modules offered by Crystalfontz America Inc. are no exception to … Read more The Legendary HD44780 Controller

Confused about the differences (and similarities) between OLEDs, PMOLEDs, and AMOLEDs? Quick Version: OLED stands for Organic Light Emitting Diode. PMOLED is Passive Matrix OLED — Passive Matrix Organic Light Emitting Diode. AMOLED is Active Matrix OLED. An Active Matrix OLED uses a TFT (Thin Film Transistor) transistor-per-pixel architecture. Learn More To find out more … Read more What is the Difference Between OLED, PMOLED, and AMOLED?

The project, in Foshan"s Nanhai District, was granted permission by the Taiwan authorities late last month, and will be both the largest TFT-LCD factory in the province as well as the largest overseas investment project in Foshan.

CMO, based in Taiwan, is one of the world"s leading TFT-LCD suppliers. Its key products are large-size TFT-LCD panels for laptops, desktop monitors, and televisions.

"Guangdong is developing the TFT-LCD industry into a key industry in the 11th Five Year Plan (2006-10) and the Nanhai CMO project is expected to make a tremendous contribution to the development of the industry in the province," noted Tong Xing, vice-governor of Guangdong.

The senior official said the province"s strategy to develop the TFT-LCD industry is based on demand generated by the sustained development of the TV and computer industries in Guangdong.

"The TV industry in the province needs to be upgraded with the latest technological developments, including TFT-LCD, to guarantee sustained development," said Tong.

Yeebo Display Ltd. is a wholly-owned subsidiary of Yeebo Group (HK259) and principally has been engaging in developing, manufacturing, and marketing display products including monochrome LCD，LCD Module, TFT module, Capacitive Touch Panel, Touch Display, etc. Yeebo"s products have a strong global presence in key electronic market sectors including Industrial applications, Telecommunications, Medical equipment, and Electronic consumable products.

With headquarter located in Hong Kong, our manufacturing activities operate with 3 factories locating in Jiangmen city and Shenzhen city of Guangdong Province. Our LCD foundry and module assembly facilities are equipped with the most advanced highly automated production lines.

Yeebo Display Ltd. is a wholly-owned subsidiary of Yeebo Group (HK259) and principally has been engaging in developing, manufacturing, and marketing display products including monochrome LCD，LCD Module, TFT module, Capacitive Touch Panel, Touch Display, etc. Yeebo"s products have a strong global presence in key electronic market sectors including Industrial applications, Telecommunications, Medical equipment, and Electronic consumable products.

With headquarter located in Hong Kong, our manufacturing activities operate with 3 factories locating in Jiangmen city and Shenzhen city of Guangdong Province. Our LCD foundry and module assembly facilities are equipped with the most advanced highly automated production lines.

According to real LCD manufacturing conditions, the number of normal LCD panels exceeds greatly the number of defective LCD panels. Therefore, the normal PRs greatly outnumber the defective PRs. As a result, the collected data set for training would be imbalanced if a two-class classification approach is adopted, the SVM by Vapnik [4] for example, the class imbalance problem occurs.

In practice, in addition to the class imbalance problem, the LCD defect detection also suffers from another critical problem resulting from the absence of negative information. To facilitate the following problem description, the normal PR class and the defective PR class are defined as the positive class and negative class, respectively.

The main difference between a normal PR and a defective PR is that their appearances are apparently different, as can be observed from Figure 4. The color (or gray level) of a normal PR is nearly uniform, implying that the variation of the gray-level distribution of normal PRs is very small. On the contrary, the surfaces of defective PR not only contain various kinds of textures, but also vary greatly in color, implying that the variation of the true distribution for negative class in the data space is very large. Collecting a set of positive training data that can represent the true distribution of positive class is easy, because: (1) the variation of positive-class distribution is very small; and (2) most of the LCD panels are normal (the number of normal PRs is considerably large). Therefore, the positive class can be well-sampled during the data collection stage in real practice. However, representative defective PRs are difficult to obtain in practice for several reasons. For example, there are numerous types of defects in array process, more than 10 types at least. However, not all the defects would occur frequently. Some of the defects seldom appear, for example the defect caused by abnormal photo-resist coating (APRC). The defect “APRC” seldom occurs, because equipment/process engineers maintain the coating machines periodically. Even so, the coating machines might still break down occasionally. As a result, the number of available images containing the APRC defects is quite limited. But, the APRC defect has a large variation in color and texture. Unfortunately, limited APRC examples cannot stand for all kinds of APRC defects. Therefore, the collected negative training data are most likely under-sampled. Here, the “under-sampled” means that the collected negative training set cannot represent the true negative-class distribution in the data space, which is the problem of absence of negative information. Due to this problem, numerous false positive (i.e., missing defects) will be produced if a two-class classification approach (e.g., a binary SVM) is applied to the LCD defect detection, which has been evidenced by the results reported in [7]. Compared with two-class classification approach, novelty detection approach is a better choice.

Novelty detection is one-class classification [10,35], which is to solve the conventional two-class classification problems where one of the two classes is under-sampled, or only the data of one single class can be available for training [5,6,9–11,35–40]. As analyzed above, for the LCD defect detection application, the normal PRs can be well-sampled, while the defective PRs are in general undersampled. Therefore, the LCD defect detection can be treated as a typical novelty detection problem. Accordingly, one-class classification is a better solution.

To summarize, it can be seen that the LCD defect detection suffers from two problems simultaneously: one is the class imbalance problem, and the other is the problem of the absence of negative information. For the first problem, there have been many sophisticated solutions, including sampling, cost-sensitive learning, SVM-based, and one-class learning approaches. However, the only solution to the second problem is the novelty detection approach (i.e., one-class classification approach). Therefore, one-class classification would be a more appropriate approach to the LCD defect detection application.

There are several approaches for one-class classification, such as density approach (e.g., Gaussian mixture model [5]), boundary approach (e.g., SVDD [9] and one-class SVM [40]), neural network approach [6,36], and reconstruction-based approach (e.g., the kernel principal component analysis for novelty detection [35]). It has been proven in [9] that when a Gaussian kernel is used, the SVDD proposed by Tax and Duin [9] is identical to the one-class SVM proposed by Schölkopf et al. [40]. This paper focuses on the SVDD since it has been applied to the same application in the works of [7] and [10], and has shown to be effective in detecting defective PRs. However, as discussed in Section 1, generalization performance of SVDD is limited. Therefore, the intent of this paper is on proposing a method to improve generalization performance of SVDD, and applying the improved SVDD to the LCD defect detection treated as a novelty detection problem. The improved SVDD is called quasiconformal kernel SVDD (QK-SVDD). Note that the QK-SVDD and SVDD are not two independent classifiers. To obtain QK-SVDD, one has to train an SVDD first, which will be introduced in Section 2.4. In the following part of the paper, we first introduce the defect detection scheme, and then derive the proposed method in details.