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Leveraging AI to Upgrade Product Quality Management in Speed and Accuracy
技术
- 分析与建模 - 计算机视觉软件
- 分析与建模 - 机器学习
适用行业
- 电子产品
适用功能
- 离散制造
- 质量保证
用例
- 计算机视觉
服务
- 软件设计与工程服务
挑战
为了在竞争激烈的 LCD 制造行业中取得成功，华星光电必须在紧迫的时间内交付高质量的产品，但耗时的产品检验阻碍了其敏捷性。质量检查员必须单独检查每个 LCD 屏幕以检查是否存在缺陷。这需要相当多的时间。
客户
华星光电
关于客户
屏幕面板设计师和制造商。
解决方案
为了实现更智能的质量控制方法，华星光电引入了 IBM Visual Insights，这是一种人工智能驱动的检测解决方案，通过将产品图像与已知缺陷图像库进行比较，智能地检测缺陷。 Visual Insights 可以轻松地与现有检测流程集成，从而使华星光电能够快速启动和运行解决方案。
运营影响
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Leveraging the IoT to Gain a Competitive Edge in International Competition
Many large manufacturers in and outside Japan are competing for larger market share in the same space, expecting a growing demand for projectors in the areas of entertainment, which requires glamor and strong visual performance as well as digital signage that can attract people’s attention. “It is becoming more and more difficult to differentiate ourselves with stand-alone hardware products,” says Kazuyuki Kitagawa, Director of Service & Support at Panasonic AVC Networks. “In order for Panasonic to grow market share and overall business, it is essential for us to develop solutions that deliver significant added value.” Panasonic believes projection failure and quality deterioration should never happen. This is what and has driven them to make their projectors IoT-enabled. More specifically, Panasonic has developed a system that collects data from projectors, visualizes detailed operational statuses, and predicts issues and address them before failure occurs. Their projectors are embedded with a variety of sensors that measure power supply, voltage, video input/ output signals, intake/exhaust air temperatures, cooling fan operations, and light bulb operating time. These sensors have been used to make the projector more intelligent, automatically suspending operation when the temperature rises excessively, and automatically switching light bulbs. Although this was a great first step, Panasonic projectors were still not equipped with any capability to send the data over a network.
