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领先全球Renesas quartz crystal oscillator专用智能家居

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领先全球Renesas quartz crystal oscillator专用智能家居

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浏览：- 发布日期：2023-09-23 09:09:23【大中小】

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领先全球Renesas quartz crystal oscillator专用智能家居，随着传感器和MCU成本的下降和出货量的飙升，越来越多的组织试图通过将传感器驱动的嵌入式AI添加到他们的产品中来加以利用。

汽车正在推动这一趋势——目前平均每辆非自动驾驶汽车有100个传感器，向30-50个微控制器发送信息，这些微控制器运行大约100万行代码，每天每辆汽车产生1TB的数据。豪华汽车的数量可能是这个数字的两倍，而自动驾驶汽车增加传感器检查的幅度要大得多。

然而，这不仅仅是汽车行业的趋势。随着旋转、往复和其他类型设备的创造者争相增加状态监控和预测支持的有用性，以及大量新的消费产品(从牙刷到真空吸尘器，再到健身监控器)增加仪器和“智能”，工业设备正变得越来越“聪明”。因此，需要更加优质的有源晶体振荡器元器件加以搭配使用。

每个月都会推出越来越多的智能设备。我们现在正处于一个点上，人工智能和机器学习在其异常重要的结构中发现了进入嵌入式设备核心的方法。例如，智能家居照明系统会根据房间内是否有人而自动开关。从各方面来看，这个系统看起来并不时尚。然而，当你考虑所有的事情时，你会明白这个系统实际上是独自决定选择的。鉴于传感器的贡献，微控制器/片上系统(SoC)决定是否开灯。

要同时做到这一切，在边缘、重要的限制范围内，击败多样性，实现实时、麻烦的检测，一点也不简单。在任何情况下，利用当前的工具，整合信号机器学习的新选项(如Reality AI)变得越来越简单。

Mfr Part #	Mfr	Description	Series	Frequency	Output	Voltage - Supply	Frequency Stability	Absolute Pull Range (APR)
XLH738080.000000X	Renesas晶振	XTAL OSC XO 80.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	80 MHz	HCMOS	3.3V	±20ppm	-
XLH738051.840000X	Renesas晶振	XTAL OSC XO 51.8400MHZ HCMOS SMD	XPRESSO FXO-HC73	51.84 MHz	HCMOS	3.3V	±20ppm	-
XLH738050.000000X	Renesas晶振	XTAL OSC XO 50.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	50 MHz	HCMOS	3.3V	±20ppm	-
XLH738048.000000X	Renesas晶振	XTAL OSC XO 48.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	48 MHz	HCMOS	3.3V	±20ppm	-
XLH738040.960000X	Renesas晶振	XTAL OSC XO 40.9600MHZ HCMOS SMD	XPRESSO FXO-HC73	40.96 MHz	HCMOS	3.3V	±20ppm	-
XLH738040.000000X	Renesas晶振	XTAL OSC XO 40.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	40 MHz	HCMOS	3.3V	±20ppm	-
XLH738033.000000X	Renesas晶振	XTAL OSC XO 33.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	33 MHz	HCMOS	3.3V	±20ppm	-
XLH738027.000000X	Renesas晶振	XTAL OSC XO 27.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	27 MHz	HCMOS	3.3V	±20ppm	-
XLH738025.000000X	Renesas晶振	XTAL OSC XO 25.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	25 MHz	HCMOS	3.3V	±20ppm	-
XLH738020.000000X	Renesas晶振	XTAL OSC XO 20.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	20 MHz	HCMOS	3.3V	±20ppm	-
XLH738019.440000X	Renesas晶振	XTAL OSC XO 19.4400MHZ HCMOS SMD	XPRESSO FXO-HC73	19.44 MHz	HCMOS	3.3V	±20ppm	-
XLH738019.200000X	Renesas晶振	XTAL OSC XO 19.2000MHZ HCMOS SMD	XPRESSO FXO-HC73	19.2 MHz	HCMOS	3.3V	±20ppm	-
XLH738018.432000X	Renesas晶振	XTAL OSC XO 18.4320MHZ HCMOS SMD	XPRESSO FXO-HC73	18.432 MHz	HCMOS	3.3V	±20ppm	-
XLH738017.000000X	Renesas晶振	XTAL OSC XO 17.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	17 MHz	HCMOS	3.3V	±20ppm	-
XLH738016.393000X	Renesas晶振	XTAL OSC XO 16.3930MHZ HCMOS SMD	XPRESSO FXO-HC73	16.393 MHz	HCMOS	3.3V	±20ppm	-
XLH738016.000000X	Renesas晶振	XTAL OSC XO 16.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	16 MHz	HCMOS	3.3V	±20ppm	-
XLH738015.360000X	Renesas晶振	XTAL OSC XO 15.3600MHZ HCMOS SMD	XPRESSO FXO-HC73	15.36 MHz	HCMOS	3.3V	±20ppm	-
XLH738012.288000X	Renesas晶振	XTAL OSC XO 12.2880MHZ HCMOS SMD	XPRESSO FXO-HC73	12.288 MHz	HCMOS	3.3V	±20ppm	-
XLH335156.250000I	Renesas晶振	XTAL OSC XO 156.2500MHZ HCMOS	XPRESSO FXO-HC33	156.25 MHz	HCMOS	3.3V	±50ppm	-
XLH335150.000000I	Renesas晶振	XTAL OSC XO 150.0000MHZ HCMOS	XPRESSO FXO-HC33	150 MHz	HCMOS	3.3V	±50ppm	-
XLH536036.571428I	Renesas晶振	OSC 36.571428 MHZ 3.3V SMD	*	-	-	-	-	-
XLH536026.666000I	Renesas晶振	XTAL OSC XO 26.6660MHZ HCMOS SMD晶振	XPRESSO FXO-HC53	26.666 MHz	HCMOS	3.3V	±25ppm	-
XLH726125.000000I	Renesas晶振	XTAL OSC XO 125.0000MHZ HCMOS	XPRESSO FXO-HC72	125 MHz	HCMOS	2.5V	±25ppm	-
XLH736033.333330I	Renesas晶振	XTAL OSC XO 33.33333MHZ HCMOS	XPRESSO FXO-HC73	33.33333 MHz	HCMOS	3.3V	±25ppm	-
XLH736070.000000I	Renesas晶振	XTAL OSC XO 70.0000MHZ HCMOS SMD	XPRESSO FXO-HC73	70 MHz	HCMOS	3.3V	±25ppm	-
XLH736074.250000I	Renesas晶振	XTAL OSC XO 74.2500MHZ HCMOS SMD	XPRESSO FXO-HC73	74.25 MHz	HCMOS	3.3V	±25ppm	-
XLH736065.536000I	Renesas晶振	XTAL OSC XO 65.5360MHZ HCMOS SMD	XPRESSO FXO-HC73	65.536 MHz	HCMOS	3.3V	±25ppm	-
XLH736007.372800I	Renesas晶振	XTAL OSC XO 7.3728MHZ HCMOS SMD	XPRESSO FXO-HC73	7.3728 MHz	HCMOS	3.3V	±25ppm	-
XLH538028.891426X	Renesas晶振	XTAL OSC XO 28.891426MHZ HCMOS	XPRESSO FXO-HC53	28.891426 MHz	HCMOS	3.3V	±20ppm	-
XLH738018.874368X	Renesas晶振	XTAL OSC XO 18.874368MHZ HCMOS	XPRESSO FXO-HC73	18.874368 MHz	HCMOS	3.3V	±20ppm	-
XLH726033.000000I	Renesas晶振	XTAL OSC XO 33.0000MHZ HCMOS SMD	XL	33 MHz	HCMOS	2.5V	±25ppm	-
XLH726060.000000I	Renesas晶振	XTAL OSC XO 60.0000MHZ HCMOS SMD	XL	60 MHz	HCMOS	2.5V	±25ppm	-
XLH336022.118400I	Renesas晶振	XTAL OSC XO 22.1184MHZ HCMOS SMD	XL	22.1184 MHz	HCMOS	3.3V	±25ppm	-
XLH726026.214400I	Renesas晶振	XTAL OSC XO 26.2144MHZ HCMOS SMD	XL	26.2144 MHz	HCMOS	2.5V	±25ppm	-
XLH736038.000000I	Renesas晶振	XTAL OSC XO 38.0000MHZ HCMOS SMD	XL	38 MHz	HCMOS	3.3V	±25ppm	-
XLH536148.511000X	Renesas晶振	XTAL OSC XO 148.5110MHZ HCMOS	XL	148.511 MHz	HCMOS	3.3V	±25ppm	-
XLH736026.214400I	Renesas晶振	XTAL OSC XO 26.2144MHZ HCMOS SMD	XL	26.2144 MHz	HCMOS	3.3V	±25ppm	-
XLH736028.000000I	Renesas晶振	XTAL OSC XO 28.0000MHZ HCMOS SMD	XL	28 MHz	HCMOS	3.3V	±25ppm	-
XLH736033.554400I	Renesas晶振	XTAL OSC XO 33.5544MHZ HCMOS SMD	XL	33.5544 MHz	HCMOS	3.3V	±25ppm	-
XUH518027.120000X	Renesas晶振	CLCC 5.00X3.20X1.10 MM, 2.54MM P	XU	27.12 MHz	HCMOS	1.8V	±20ppm	-
XLH326002.000000I	Renesas晶振	XTAL OSC XO 2.0000MHZ HCMOS SMD	XL	2 MHz	HCMOS	2.5V	±25ppm	-
XLH536121.500000I	Renesas晶振	XTAL OSC XO 121.5000MHZ HCMOS	XL	121.5 MHz	HCMOS	3.3V	±25ppm	-
XLH726026.563828I	Renesas晶振	XTAL OSC XO 26.563828MHZ HCMOS	XL	26.563828 MHz	HCMOS	2.5V	±25ppm	-
XLH736034.368000I	Renesas晶振	XTAL OSC XO 34.3680MHZ HCMOS SMD	XL	34.368 MHz	HCMOS	3.3V	±25ppm	-
XLH536110.000000I	Renesas晶振	XTAL OSC XO 110.0000MHZ HCMOS	XL	110 MHz	HCMOS	3.3V	±25ppm	-
XUH538024.576000X	Renesas晶振	CLCC 5.00X3.20X1.10 MM, 2.54MM P	XU	24.576 MHz	HCMOS	3.3V	±20ppm	-
XLH736039.950000I	Renesas晶振	XTAL OSC XO 39.9500MHZ HCMOS SMD	XL	39.95 MHz	HCMOS	3.3V	±25ppm	-
XLH330148.500000I	Renesas晶振	XTAL OSC XO 148.5000MHZ HCMOS	XL	148.5 MHz	HCMOS	3.3V	±100ppm	-
XLH736027.540000I	Renesas晶振	XTAL OSC XO 27.5400MHZ HCMOS SMD	XL	27.54 MHz	HCMOS	3.3V	±25ppm	-
XLH726026.561172I	Renesas晶振	XTAL OSC XO 26.561172MHZ HCMOS	XL	26.561172 MHz	HCMOS	2.5V	±25ppm	-
XLH736028.450560I	Renesas晶振	XTAL OSC XO 28.45056MHZ HCMOS	XL	28.45056 MHz	HCMOS	3.3V	±25ppm	-
XLH336024.545455I	Renesas晶振	XTAL OSC XO 24.545455MHZ HCMOS	XL	24.545455 MHz	HCMOS	3.3V	±25ppm	-
XLH738092.500000X	Renesas晶振	XTAL OSC XO 92.5000MHZ HCMOS SMD	XL	92.5 MHz	HCMOS	3.3V	±20ppm	-
XLH736048.839200I	Renesas晶振	XTAL OSC XO 48.8392MHZ HCMOS SMD	XL	48.8392 MHz	HCMOS	3.3V	±25ppm	-
XLH736090.136800I	Renesas晶振	XTAL OSC XO 90.1368MHZ HCMOS SMD	XL	90.1368 MHz	HCMOS	3.3V	±25ppm	-
XLH736028.375000I	Renesas晶振	XTAL OSC XO 28.3750MHZ HCMOS SMD	XL	28.375 MHz	HCMOS	3.3V	±25ppm	-
XUH738016.125000X	Renesas晶振	CLCC 7.00X5.00X1.30 MM, 2.54MM P	XU	16.125 MHz	HCMOS	3.3V	±20ppm	-
XLH328019.200000X	Renesas晶振	XTAL OSC XO 19.2000MHZ HCMOS SMD	XL	19.2 MHz	HCMOS	2.5V	±20ppm	-
XLH528040.000000X	Renesas晶振	XTAL OSC XO 40.0000MHZ HCMOS SMD	XL	40 MHz	HCMOS	2.5V	±20ppm	-
XUH738044.736000X	Renesas晶振	CLCC 7.00X5.00X1.30 MM, 2.54MM P	XU	44.736 MHz	HCMOS	3.3V	±20ppm	-
XUH518033.333333X	Renesas晶振	CLCC 5.00X3.20X1.10 MM, 2.54MM P	XU	33.333333 MHz	HCMOS	1.8V	±20ppm	-
XUH738025.000000X	Renesas晶振	CLCC 7.00X5.00X1.30 MM, 2.54MM P	XU	25 MHz	HCMOS	3.3V	±20ppm	-
XLH526080.000000I	Renesas晶振	XTAL OSC XO 80.0000MHZ HCMOS SMD	XL	80 MHz	HCMOS	2.5V	±25ppm	-
XLH738078.643200X	Renesas晶振	XTAL OSC XO 78.6432MHZ HCMOS SMD	XL	78.6432 MHz	HCMOS	3.3V	±20ppm	-
XLH726096.000000I	Renesas晶振	XTAL OSC XO 96.0000MHZ HCMOS SMD	XL	96 MHz	HCMOS	2.5V	±25ppm	-
XLH728080.000000X	Renesas晶振	XTAL OSC XO 80.0000MHZ HCMOS SMD	XL	80 MHz	HCMOS	2.5V	±20ppm	-
XLH738000.921600X	Renesas晶振	XTAL OSC XO 921.6000KHZ HCMOS	XL	921.6 kHz	HCMOS	3.3V	±20ppm	-
XLH336029.500000I	Renesas晶振	XTAL OSC XO 29.5000MHZ HCMOS SMD	XL	29.5 MHz	HCMOS	3.3V	±25ppm	-
XLH735015.360000I	Renesas晶振	XTAL OSC XO 15.3600MHZ HCMOS SMD	XL	15.36 MHz	HCMOS	3.3V	±50ppm	-
XLH736045.000000X	Renesas晶振	XTAL OSC XO 45.0000MHZ HCMOS SMD	XL	45 MHz	HCMOS	3.3V	±25ppm	-
XAH526033.300000I	Renesas晶振	XTAL OSC XO 33.3000MHZ LVCMOS	XA	33.3 MHz	LVCMOS	2.5V	±25ppm	-
XLH336013.330000I	Renesas晶振	XTAL OSC XO 13.3300MHZ LVCMOS	XL	13.33 MHz	LVCMOS	3.3V	±25ppm	-
XLH336037.125000I	瑞萨差分晶振	XTAL OSC XO 37.1250MHZ LVCMOS	XL	37.125 MHz	LVCMOS	3.3V	±25ppm	-
XLH336002.048000I	Renesas晶振	XTAL OSC XO 2.0480MHZ LVCMOS SMD	XL	2.048 MHz	LVCMOS	3.3V	±25ppm	-
XLH336032.051655I	Renesas晶振	XTAL OSC XO 32.051655MHZ LVCMOS	XL	32.051655 MHz	LVCMOS	3.3V	±25ppm	-
XLH328033.333000X	Renesas晶振	XTAL OSC XO 33.3330MHZ LVCMOS	XL	33.333 MHz	LVCMOS	2.5V	±20ppm	-
XLH336033.330000I	Renesas晶振	XTAL OSC XO 33.3300MHZ LVCMOS	XL	33.33 MHz	LVCMOS	3.3V	±25ppm	-
XLH336031.948512I	Renesas晶振	XTAL OSC XO 31.948512MHZ LVCMOS	XL	31.948512 MHz	LVCMOS	3.3V	±25ppm	-
XLH336019.000000I	Renesas晶振	XTAL OSC XO 19.0000MHZ LVCMOS	XL	19 MHz	LVCMOS	3.3V	±25ppm	-
XLH730030.875520I	Renesas晶振	XTAL OSC XO 30.87552MHZ LVCMOS	XL	30.87552 MHz	LVCMOS	3.3V	±100ppm	-
XLH535003.686000I	Renesas晶振	XTAL OSC XO 3.6860MHZ LVCMOS SMD	XL	3.686 MHz	LVCMOS	3.3V	±50ppm	-
XLH736078.125000X	Renesas晶振	XTAL OSC XO 78.1250MHZ LVCMOS	XL	78.125 MHz	LVCMOS	3.3V	±25ppm	-
XLH736025.750000X	Renesas晶振	XTAL OSC XO 25.7500MHZ LVCMOS	XL	25.75 MHz	LVCMOS	3.3V	±25ppm	-
XLH535013.330000I	Renesas晶振	XTAL OSC XO 13.3300MHZ LVCMOS	XL	13.33 MHz	LVCMOS	3.3V	±50ppm	-
XLH338040.953873X	Renesas晶振	XTAL OSC XO 40.953873MHZ LVCMOS	XL	40.953873 MHz	LVCMOS	3.3V	±20ppm	-

它们可以定期实现逃避传统工程模型的检测。他们通过显著提高数据的生产率和利用率来战胜变化，从而做到这一点。传统的工程方法通常建立在物理模型上，利用数据来评估参数，而机器学习方法可以自动适应这些模型。他们想出了如何从原始信息中直接识别签名，并利用机器学习(数学)的机制将目标从非目标中分离出来，而不依赖于物理科学。

在许多不同的领域，机器学习和嵌入式系统的融合将带来巨大的机遇。例如，医疗保健现在正在获得将资源投入人工智能技术的回报。物联网也将从人工智能的引入中获得巨大收益。我们将拥有智能自动化有源晶振解决方案，促进能源节约、成本效率以及人类失误的终结。

预测是许多ML/AI对话的中心，因为组织希望使用神经网络和深度学习来推测时间序列数据。价值在于吸收信息并迅速了解信息如何改变长期前景的能力。此外，很大一部分情况依赖于全球供应链，这使得改进变得更加难以精确预测。领先全球Renesas quartz crystal oscillator专用智能家居.

也许生产线上最不安全的位置现在是由机器处理的。由于嵌入式电子和工业自动化的进步，我们的OSC晶振有了突破性的微控制器来运行装配厂的整个机械生产系统。然而，这些机器中的大多数并不完全是自动的，仍然需要一种人工干预。无论如何，机器学习的引入将有助于工程师制造真正智能的机器，这些机器可以在没有人类干预的情况下工作。

Throughout the most recent years, as sensor and MCU costs dove and shipped volumes have gone through the roof, an ever-increasing number of organizations have attempted to exploit by adding sensor-driven embedded AI to their products.

Automotive is driving the trend– the average non-autonomous vehicle presently has 100 sensors, sending information to 30-50 microcontrollers that run about 1m lines of code and create 1TB of data per vehicle every day. Extravagance vehicles may have twice the same number of, and autonomous vehicles increase the sensor check significantly more drastically.

Yet, it's not simply an automotive trend. Industrial equipment is turning out to be progressively "brilliant" as creators of rotating, reciprocating and other types of equipment rush to add usefulness for condition monitoring and predictive support, and a huge number of new consumer products from toothbrushes, to vacuum cleaners, to fitness monitors add instrumentation and "smarts".

An ever-increasing number of smart devices are being introduced each month. We are now at a point where artificial intelligence and machine learning in its exceptionally essential structure has discovered its way into the core of embedded devices. For example, smart home lighting systems that automatically turn on and off depend on whether anybody is available in the room. By all accounts, the system doesn't look excessively stylish. Yet, when you consider everything, you understand that the system is really settling on choices all alone. In view of the contribution from the sensor, the microcontroller/system-on-chip (SoC) concludes if to turn on the light or not.

To do all of this simultaneously, defeating variety to achieve troublesome detections in real-time, at the edge, inside the vital limitations isn't at all simple. In any case, with current tools, integrating new options for machine learning for signals (like Reality AI) it is getting simpler.

They can regularly achieve detections that escape traditional engineering models. They do this by making significantly more productive and compelling utilization of data to conquer variation. Where traditional engineering approaches will ordinarily be founded on a physical model, utilizing data to appraise parameters, machine learning approaches can adapt autonomously of those models. They figure out how to recognize signatures straightforwardly from the raw information and utilize the mechanics of machine learning (mathematics) to isolate targets from non-targets without depending on physical science.

There are a lot of different regions where the convergence of machine learning and embedded systems will prompt great opportunities. Healthcare, for example, is now receiving the rewards of putting resources into AI technology. The Internet of Things or IoT will likewise profit enormously from the introduction of artificial intelligence. We will have smart automation solutions that will prompt energy savings, cost proficiency as well as the end of human blunder.

Forecasting is at the center of so many ML/AI conversations as organizations hope to use neural networks and deep learning to conjecture time series data. The worth is the capacity to ingest information and quickly acknowledge insight into how it changes the long-term outlook. Further, a large part of the circumstance relies upon the global supply chain, which makes improvements significantly harder to precisely project.

Probably the most unsafe positions in production lines are as of now being dealt by machines. Because of the advancement in embedded electronics and industrial automation, we have ground-breaking microcontrollers running the whole mechanical production systems in assembling plants. However, the majority of these machines are not exactly completely automatic and still require a type of human intercession. In any case, the time will come when the introduction of machine learning will help engineers concoct truly intelligent machines that can work with zero human mediation.

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