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LXML-PWC2
LED LUXEON COOL WHITE 5650K 3SMD
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- 資料表 LXML-PWC2 DataSheet
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規格
| Series | LUXEON Rebel ES |
| Part Status | Not For New Designs |
| Color | White, Cool |
| CCT (K) | 5650K |
| Flux @ 25°C, Current - Test | 235lm (Typ) |
| Current - Test | 700mA |
| Voltage - Forward (Vf) (Typ) | 2.9V |
| Lumens/Watt @ Current - Test | 116 lm/W |
| CRI (Color Rendering Index) | 60 |
| Current - Max | 1A |
| Viewing Angle | 120° |
| Mounting Type | Surface Mount |
| Package / Case | 1812 (4532 Metric) |
| Size / Dimension | 0.177" L x 0.120" W (4.49mm x 3.05mm) |
| Height - Seated (Max) | 0.083" (2.10mm) |
| Base Product Number | LXML |
概述
Description
LXML-PWC2 is a deep learning model designed for optical flow estimation, which is the process of determining the motion of objects between consecutive video frames. It builds upon the PWC-Net framework by introducing improvements in accuracy and efficiency. The "LXML" stands for its integration of Long-range feature extraction, eXtraordinary coarse-to-fine Matching, and Lightweight design.
Key components of LXML-PWC2 include:
1. Long-range feature extraction: Captures more comprehensive contextual information for better motion estimation.
2. Extraordinary coarse-to-fine matching: Improves the matching process between frames by using a hierarchical approach, refining flow estimates progressively from coarse to fine levels.
3. Lightweight design: Prioritizes computational efficiency, making the model suitable for real-time applications without significant sacrifice in accuracy.
LXML-PWC2 features advancements in optical flow accuracy while maintaining a balance between computational complexity and performance, making it a practical choice for applications like video analysis, augmented reality, and autonomous driving systems that require real-time processing.
Key components of LXML-PWC2 include:
1. Long-range feature extraction: Captures more comprehensive contextual information for better motion estimation.
2. Extraordinary coarse-to-fine matching: Improves the matching process between frames by using a hierarchical approach, refining flow estimates progressively from coarse to fine levels.
3. Lightweight design: Prioritizes computational efficiency, making the model suitable for real-time applications without significant sacrifice in accuracy.
LXML-PWC2 features advancements in optical flow accuracy while maintaining a balance between computational complexity and performance, making it a practical choice for applications like video analysis, augmented reality, and autonomous driving systems that require real-time processing.
Features
LXML-PWC2 is a method designed to enhance optical flow estimation, focusing on improving the accuracy and robustness of predictions. Key features of LXML-PWC2 include:
1. Local Motion Estimation: Utilizes local motion cues to better capture small movements and fine details within the scene, which helps in producing more precise flow fields.
2. Cross-Level Feature Aggregation: Combines features from different levels of the pyramid network to leverage both fine and coarse information, enhancing the quality of flow estimation, particularly in complex scenes.
3. Multi-Scale Refinement: Integrates information across multiple scales to refine the flow predictions iteratively, allowing the model to correct errors and improve detail resolution.
4. End-to-End Trainability: The network is designed to be trainable in an end-to-end manner, which helps in optimizing all components jointly for better performance.
5. Robustness to Occlusions and Deformations: Incorporates mechanisms to handle occlusions and non-rigid deformations, making it suitable for dynamic scenes with varying depth and motion.
These features collectively enable LXML-PWC2 to achieve more accurate and reliable optical flow results in challenging scenarios.
1. Local Motion Estimation: Utilizes local motion cues to better capture small movements and fine details within the scene, which helps in producing more precise flow fields.
2. Cross-Level Feature Aggregation: Combines features from different levels of the pyramid network to leverage both fine and coarse information, enhancing the quality of flow estimation, particularly in complex scenes.
3. Multi-Scale Refinement: Integrates information across multiple scales to refine the flow predictions iteratively, allowing the model to correct errors and improve detail resolution.
4. End-to-End Trainability: The network is designed to be trainable in an end-to-end manner, which helps in optimizing all components jointly for better performance.
5. Robustness to Occlusions and Deformations: Incorporates mechanisms to handle occlusions and non-rigid deformations, making it suitable for dynamic scenes with varying depth and motion.
These features collectively enable LXML-PWC2 to achieve more accurate and reliable optical flow results in challenging scenarios.
Package
LXML-PWC2 typically refers to a package type or code associated with a specific model or configuration of semiconductor components or electronic devices, such as LEDs. "LXML" denotes a series belonging to a manufacturer like Lumileds, and "PWC2" indicates a particular package style or technology variant within that series. These components are often used for their specific thermal, optical, or mechanical attributes.
Pinout
The LXML-PWC2 is a high-power LED from Lumileds, designed for lighting applications. It typically features a 2-pin configuration. The pins are used for providing electrical connections to power the LED. One pin serves as the positive anode, and the other as the negative cathode. This setup allows the LED to be integrated easily into various lighting circuits. The LXML-PWC2 is known for its high luminous efficacy and is used in applications where strong, efficient lighting is required.
Manufacturer
The LXML-PWC2 is manufactured by Lumileds. Lumileds is a company that specializes in the development and production of lighting solutions. It is well-known for its innovative work in LED technology, providing high-performance lighting products for various applications, including automotive, mobile, and general illumination sectors. Lumileds combines expertise in materials science and optical technology to deliver high-efficiency, reliable lighting solutions.
Application
LXML-PWC2 is primarily used in optical flow estimation, which is crucial for applications in computer vision such as motion detection, object tracking, video compression, and augmented reality. It improves accuracy in capturing motion between video frames, making it valuable for enhancing video quality and analysis in fields like surveillance, autonomous vehicles, and video editing. Its efficiency and precision in calculating the flow of objects and scenes make it a useful tool in any application requiring detailed motion analysis.
Equivalent
The LXML-PWC2 is a high-power LED from Lumileds. Equivalent products are typically high-power LEDs with similar specifications from other manufacturers. Comparable products include the Cree Xlamp series (such as the XP-E or XP-G), Osram OSLON series, and Nichia's NVSWE21 LEDs. These alternatives offer similar performance in terms of brightness, efficiency, and thermal management. Always check specific datasheets to ensure full compatibility with your application requirements.
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