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Prism ISP

型号: 110-0200-01
product image

In Production
Prism™ ISP is a collection of image signal processing (ISP) software libraries that include super-resolution, electronic image stabilization, image fusion, turbulence mitigation, noise reduction, and more. Compiled to run on low-power embedded processors from Qualcomm and NVIDIA, enabling developers to bring computational imaging to the edge while improving performance, lowering development costs, and shortening time to market.

Prism ISP is compatible with Teledyne FLIR market-leading thermal cores including Boson®, Tau® 2, Hadron™, and Neutrino®. The ISP libraries enable integrators to leverage high-performance ISP algorithms that dramatically enhance the viewed image quality and AI capabilities of world-class infrared camera modules for defense, industrial, and commercial applications.


Prism-ISP-PDP-Pillar1-Images-Industry-leading-thermal-performance.jpg

卓越的热像仪性能

高价值图像质量增强技术,优化操作员观测体验并提升感知软件预处理效果

  • 超分辨率成像解析细节特征,生成高质量图像
  • 辐射测量 JPG 格式打通 Teledyne FLIR 生态系统,包括 FLIR Thermal Studio™
  • Teledyne FLIR MSX® 专利技术通过融合可见光边缘细节显著增强热成像质量
  • 去闪烁功能有效抑制远距成像中的大气湍流影响


Prism-ISP-PDP-Pillar2-Images-Leverage-Algorithm.jpg

利用算法生态系统缩短上市时间

灵活的软件库降低了集成热相机计算成像投资成本

  • 兼容 Teledyne FLIR ADK、Boson、Tau 2、Hadron 和 Neutrino
  • 支持 NVIDIA 和 Qualcomm 的最新
    嵌入式处理器


Prism-ISP-PDP-Pillar3-Images-Built-for-developers.jpg

专为开发人员打造,提供 Teledyne FLIR 品牌承诺

值得信赖的全球热红外传感和解决方案领导者

  • 包含库和文档的 C++ 参考应用程序示例
  • 技术服务专家可提供集成支持
  • 支持 Linux 和 Windows(需申请)

规格

Authentication
Camera to ECU key handshake with 256-bit challenge/response
Cross Modality Image Registration
Automatic alignment of thermal and EO to compensate for parallax and time sync differences
Deblurring
Blind and semi blind (motion known) methods supported to restore MTF (thermal video)
Dewarping
Radial and tangential lens dewarping
Haze Penetration
Locally adaptive compensation for atmospheric dispertion (thermal)
Motion Compensated Temporal Noise Reduction
Advanced, mutiframe noise reduction (thermal video)
Pseudo-Color
Multiple color palletes available (thermal video)
Rectification
Visible & thermal camera calibration process with pixel-accurate registration of visible & thermal
Scene Based Non-Uniformity Correction
Fixed pattern nosie removal (thermal video)
Super Resolution
Multiframe SR on full image or crop (e-zoom), 2X, 3X and 4X modes supported
Supported Hardware
Qualcomm: Snapdragon 8 gen 1 (RB5/QRB5165) & Snapdragon 8 gen 2 (QCS8550)
NVIDIA: Jetson Xavier & Jetson Orin
Other Qualcomm and NVIDA HW on request
Supported Operating Systems
Linux (18.04 and 20.04) verification done on Ubuntu distribution(s). Windows by request.
Supported Video Formats
16b monochrome for LWIR/MWIR, 24b RGB/BGR for visible
Tone Mapping
Global and locally adaptive methods supported, optimized for highly dynamic scenes
Video Stabilization
Removal of high temporal frequency jitter (thermal and EO)

资源和支持

由 Teledyne FLIR OEM 专家撰写的新文章和白皮书,旨在帮助您集成 Teledyne FLIR OEM 产品。

如有技术问题,请在 flir.custhelp.com 访问我们的常见问题解答页面以寻找答案

白皮书

Mission‑Autonomous Pixel Lock for FPV Drones

了解详情

白皮书

Beyond Embedded AI: Optimizing the Thermal Perception Pipeline from Sensor Data to Edge Deployment

了解详情

白皮书

Using Synthetic Data to Accelerate AI Perception Model Development for Object Detection

了解详情

白皮书

Thermal Infrared Sensor Design Considerations for Counter-UAS Defense

了解详情

应用说明

A Guide on Cost-Effective Thermal Lens Integration: What to Know for Defense and Autonomous Vehicle Applications

了解详情

网络研讨会

How to Optimize MWIR Performance and Computational Imaging to Simplify Integration

立即观看

以下资产为此产品系列所有型号共享。

Prism AI - Auto Datasheet

Datasheet

下载

使用我们的操作方法视频库及更多资源,集成 Teledyne FLIR OEM 热像仪模块从未如此简单!

Deploying AI Object Detection, Target Tracking, and Computational Imaging on Embedded Processors
Introducing FLIR AVP
Integrate AI Decision Support with Prism AI
Guide to Image Signal Processing with Prism ISP
How to Optimize MWIR Performance and Computational Imaging to Simplify Integration

相机选择器工具

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访问支持中心,获取有关 Teledyne FLIR OEM 产品的帮助,或访问我们的技术支持中心以提交支持单。