產業脈動｜全球機器視覺市場展望

目前全球機器視覺的發展主要由人工智慧、深度學習與先進成像技術驅動，機器視覺可用於校準、測量、製造業品質檢測、機器維護，它是工業自動化的重要系統之一。在全球製造業智慧化、數位化浪潮的驅動下，機器視覺已是工業之眼，憑藉其在檢測、定位、測量、識別等領域的應用，早已是智慧製造的關鍵技術。隨著國際技術競合和供應鏈安全風險的因素，加速實現機器視覺的國產自主化技術，不僅是產業高品質發展的需求，更是保護國家製造業安全發展的需求。儘管國產工業視覺產品憑藉在地化服務能力、客製化需求的適配，已在電子、機械、化工等場景實現國產化替代，並逐步向半導體、精密光學等領域拓展，不過在高階應用的場景中仍面臨硬體依賴進口、複雜場景下穩定性和可靠度的挑戰。

The current global development of machine vision is primarily driven by artificial intelligence, deep learning, and advanced imaging technologies. Machine vision can be applied to calibration, measurement, industrial quality inspection, and equipment maintenance, making it one of the most important systems in industrial automation. Under the wave of intelligent and digital transformation in global manufacturing, machine vision has become the "eye of industry." With its applications in inspection, positioning, measurement, and recognition, it has already become a key technology in smart manufacturing.Amid international technological competition and supply chain security risks, accelerating the realization of domestic and independent machine vision technologies is not only a requirement for high-quality industrial development but also essential for safeguarding the secure growth of national manufacturing. Although domestic industrial vision products, with advantages in localized services and customized solutions, have already achieved substitution in fields such as electronics, machinery, and chemicals The current global development of machine vision is primarily driven by artificial intelligence, deep learning, and advanced imaging technologies. Machine vision can be applied to calibration, measurement, industrial quality inspection, and equipment maintenance, making it one of the most important systems in industrial automation. Under the wave of intelligent and digital transformation in global manufacturing, machine vision has become the "eye of industry." With its applications in inspection, positioning, measurement, and recognition, it has already become a key technology in smart manufacturing.Amid international technological competition and supply chain security risks, accelerating the realization of domestic and independent machine vision technologies is not only a requirement for high-quality industrial development but also essential for safeguarding the secure growth of national manufacturing. Although domestic industrial vision products, with advantages in localized services and customized solutions, have already achieved substitution in fields such as electronics, machinery, and chemicals The current global development of machine vision is primarily driven by artificial intelligence, deep learning, and advanced imaging technologies. Machine vision can be applied to calibration, measurement, industrial quality inspection, and equipment maintenance, making it one of the most important systems in industrial automation. Under the wave of intelligent and digital transformation in global manufacturing, machine vision has become the "eye of industry." With its applications in inspection, positioning, measurement, and recognition, it has already become a key technology in smart manufacturing.Amid international technological competition and supply chain security risks, accelerating the realization of domestic and independent machine vision technologies is not only a requirement for high-quality industrial development but also essential for safeguarding the secure growth of national manufacturing. Although domestic industrial vision products, with advantages in localized services and customized solutions, have already achieved substitution in fields such as electronics, machinery, and chemicals - and are gradually expanding into semiconductors and precision optics—they still face challenges in high-end applications, including reliance on imported hardware and difficulties in ensuring stability and reliability in complex scenarios.and are gradually expanding into semiconductors and precision optics—they still face challenges inhigh-end applications, including reliance on imported hardware and difficulties in ensuring stability and reliability in complex scenarios - and are gradually expanding into semiconductors and precision optics - they still face challenges in high-end applications, including reliance on imported hardware and difficulties in ensuring stability and reliability in complex scenarios.