最後更新 2024-12-27 16:42:05 (UTC+8)

基本分析

透過季節調整季營收,判斷美股整體趨勢,但注意股價有時候領先基本面的數據,應搭配其他領先指標判斷。

季營收趨勢 tooltip

季節調整季營收
季增率

-2.1%


截至2024-09-29

基本資料

個股的基本資料,以及所屬的類股和產業。

公司介紹

業務介紹

康耐視公司提供機器視覺產品,用於捕捉和分析視覺信息,以自動化全球製造和配送任務。其機器視覺產品用於自動化離散項目的製造和跟踪,包括手機、阿司匹林瓶和汽車輪胎,通過在製造或配送過程中定位、識別、檢查和測量它們。該公司提供VisionPro軟件,這是一套用於高級編程的專利視覺工具;QuickBuild允許客戶使用圖形化、基於流程圖的編程界面構建視覺應用程序;以及Cognex深度學習視覺軟件。它還提供一系列檢查任務,包括部件定位、識別、測量、裝配驗證和機器人引導;用於視覺應用的視覺傳感器,如檢查部件的存在和尺寸;以及In-Sight視覺系統和傳感器產品線。此外,該公司還提供DataMan,這是一種基於圖像的條碼讀取器和條碼驗證器。它將產品銷售給消費電子、汽車、消費品、食品和飲料、製藥以及醫療器械行業,並通過分銷商和集成商網絡銷售。康耐視公司成立於1981年,總部位於馬薩諸塞州的納蒂克。



Cognex Corporation provides machine vision products that capture and analyze visual information in order to automate manufacturing and distribution tasks worldwide. Its machine vision products are used to automate the manufacturing and tracking of discrete items, including mobile phones, aspirin bottles, and automobile tires by locating, identifying, inspecting, and measuring them during the manufacturing or distribution process. The company offers VisionPro software, a suite of patented vision tools for advanced programming; QuickBuild that allows customers to build vision applications with a graphical, flowchart-based programming interface; and Cognex deep learning vision software. It also provides a range of inspection tasks, including part location, identification, measurement, assembly verification, and robotic guidance; vision sensors for vision applications, such as checking the presence and size of parts; and the In-Sight product line of vision systems and sensors. In addition, the company offers DataMan, an image-based barcode readers and barcode verifiers. It sells its products to consumer electronics, automotive, consumer products, food and beverage, pharmaceuticals, and medical devices industries, as well as through a network of distributors and integrators. Cognex Corporation was incorporated in 1981 and is headquartered in Natick, Massachusetts.

所屬產業

所屬類股
Technology
所屬產業
Hardware, Equipment & Parts

警語

1. 資料僅供參考,不做任何獲利保證及特定股票與點位推薦建議。

2. 資料並不完整,需要完整資料請至相關網站索取。

3. 任何股市數據分析皆存在倖存者偏差。

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