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Name: 854105AGILF
Brand: Renesas Electronics America Inc
SKU: 854105AGILF
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

Any Feature, including a modified Existing Feature, that is not an Existing Feature.

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Renesas Electronics America Inc 854105AGILF

Part No.:: 854105AGILF

Manufacturer:: Renesas Electronics America Inc

Package:: 16-TSSOP (0.173, 4.40mm Width)

Datasheet:: 854105AGILF.pdf

Description:: CLOCK DRIVERS & DISTRIBUTION LOW

In Stock:: 29280

Quantity:: Add To Cart

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854105AGILF Specifications

Packaging:
Tube
Series:
-
Product Status:
Obsolete
Type:
Fanout Buffer (Distribution)
Number of Circuits:
1
Ratio-Input: Output:
1:4
Differential-Input: Output:
No/Yes
Input:
LVCMOS, LVTTL
Output:
LVDS
Frequency-Max:
250 MHz
Voltage-Supply:
3.135V ~ 3.465V
Operating Temperature:
-40°C ~ 85°C
Mounting Type:
Surface Mount

854105AGILF this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including 854105AGILF price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for 854105AGILF to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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Shipping & Handling

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The basic freight (for package ≤0.5kg or corresponding volume) depends on the time zone and countries.

Shipping Method

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854105AGILF information

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The working principle and core technical features of 854105AGILF

854105AGILF is a cutting-edge image processing algorithm that revolutionizes the way images are analyzed and understood in various applications. Developed by leading experts in the field, 854105AGILF employs advanced techniques to extract meaningful information from images with unprecedented accuracy and efficiency.

Core Technology:

At the heart of 854105AGILF lies a sophisticated combination of deep learning and computer vision algorithms. These algorithms are trained on vast datasets to recognize patterns, objects, and features in images, enabling 854105AGILF to perform tasks such as object detection, image segmentation, and scene understanding with remarkable precision.

Application Scenarios:

In the field of autonomous driving, 854105AGILF plays a pivotal role in enabling vehicles to perceive and interpret their surroundings accurately. By analyzing live camera feeds, 854105AGILF can detect and classify various objects on the road, such as pedestrians, vehicles, and traffic signs, allowing autonomous vehicles to make informed decisions in real-time.

In medical imaging, 854105AGILF enhances diagnostic capabilities by automatically identifying and analyzing abnormalities in medical scans, such as X-rays and MRIs. By assisting radiologists in detecting subtle anomalies or lesions, 854105AGILF improves diagnostic accuracy and expedites patient care.

In retail and e-commerce, 854105AGILF powers intelligent visual search engines that enable users to search for products using images rather than keywords. By understanding the visual characteristics of products, 854105AGILF can accurately match user-uploaded images with relevant items in online catalogs, enhancing the shopping experience and driving sales.

In surveillance and security systems, 854105AGILF enhances threat detection capabilities by analyzing live video streams to detect suspicious activities or objects in real-time. By continuously monitoring video feeds from cameras, 854105AGILF can alert security personnel to potential threats or security breaches, improving overall situational awareness and response times.

Technological Advantages:

1. 854105AGILF excels in processing complex visual data with high accuracy, thanks to its deep learning algorithms trained on massive datasets.

2. The algorithm's efficiency allows for real-time image analysis, making it suitable for applications requiring rapid decision-making and response.

3. 854105AGILF is highly adaptable and can be customized for specific use cases or environments, ensuring optimal performance in diverse scenarios.

4. By leveraging state-of-the-art computer vision techniques, 854105AGILF can handle various challenges such as occlusions, varying lighting conditions, and object scale variations.

5. The algorithm's scalability enables it to process large volumes of image data efficiently, making it suitable for deployment in both edge devices and cloud-based systems.

Enhancing System Performance and Efficiency:

To further improve the overall performance and efficiency of systems utilizing 854105AGILF, several strategies can be employed:

- Hardware Acceleration: Implementing dedicated hardware accelerators, such as GPUs or TPUs, can significantly speed up the image processing tasks performed by 854105AGILF, enabling faster inference and response times.

- Algorithm Optimization: Continuously refining and optimizing the underlying algorithms of 854105AGILF can lead to improved accuracy, reduced computational complexity, and better utilization of resources.

- Edge Computing: Deploying 854105AGILF on edge devices closer to the point of data generation can reduce latency and bandwidth requirements, enabling faster decision-making and improving system responsiveness.

- Data Management: Efficient management of image data, including storage, retrieval, and preprocessing, can streamline the image processing pipeline and enhance overall system efficiency.

- Integration with Other Technologies: Combining 854105AGILF with complementary technologies such as LiDAR, radar, or inertial sensors can provide a more comprehensive understanding of the environment, leading to enhanced system capabilities and performance.

854105AGILF FAQ

1. How to order 854105AGILF on icwhale.com?

Currently, icwhale.com only provide peer-to-peer order processing. While you submit the RFQ, our professional agent will contact you with the competitive prices in the global market, and our agent will prompt you to finish the order if you accept our offers.

2. How does icwhale.com guarantee that 854105AGILF is from the original manufacturer or authorized agents?

We have a professional and experienced quality control team to strictly verify and test the 854105AGILF. All suppliers must pass our qualification reviews before they can publish their products including 854105AGILF on icwhale.com; we pay more attention to the channels and quality of 854105AGILF products than any other customer. We strictly implement supplier audits, so you can purchase with confidence.

3. Are the 854105AGILF price and inventory displayed accurate?

The price and inventory of 854105AGILF fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

4. What forms of payment are accepted?

Wire Transfer, PayPal, Alipay, Wechat, Credit Card, Western Union, MoneyGram, and Escrow are all acceptable.

Warm Tips: Some orders in certain payment forms may require handling fee.

5. How is the shipping arranged?

Customers can choose industry-leading freight companies, including DHL, UPS, FedEx, TNT, and Registered Mail. Shipping insurance is also available.

Once your order has been processed for shipment, our salesperson will send you an email advising you of the shipping status and tracking number.

Warm Tips: It may take up to 24 hours for the carriers to display tracking information. Usually, express delivery takes 3-5 days, and registered mail takes 25-60 days.

6. What is the process for return or replacement of 854105AGILF?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the 854105AGILF we delivered, we will accept the replacement or return of the 854105AGILF only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

(2)We are informed of the defect described above within 90 days after the delivery of 854105AGILF.

(3)The PartNo is unused and only in the original unpacked packaging.

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations