Acceleration Made Easy

Accelerated Applications for Adaptive Platforms


Easy Installation

Apps are packaged in Linux deployment frameworks for easy installation over the air via open-source mechanisms

Free Evaluation

Free evaluation with supported documentation, getting started flows, and additional tools and resources –no hardware expertise needed

Develop and Deploy

Begin development at an elevated starting point and deploy to either the starter kit or the production SOM

Easy Updates

Dynamically upgrade to the latest version of the accelerated app, either to the starter kit or the deployed production SOM

How to Explore

1. Select App
Choose an app and explore functionality, specifications, and documentation

2. Download App
Download App for free and evaluate on the KV260, KR260, or KD240 Starter Kit

3. Follow Step-by-Step
Use our Getting Started Guide and be up and running in less than an hour

4. Purchase App
For production deployment of K24 or K26 production SOM (all AMD apps are free)

Kria Accelerated Apps

 Enabling developers to program and differentiate their designs at the software level, without requiring FPGA programming experience.

Vision & Robotics Apps for Kria K26

Object Detection and Tracking with Event Vision-Based Sensors

Event Vision-Based (EVB) sensing offers accelerated sensing speeds, improved operation in unpredictable lighting conditions, and decreased communication demands compared to frame-based sensors.1 This application showcases an integrated EVB sensor via MIPI to the AMD Kria™ KV260 Vision AI Starter Kit, executing object detection and tracking for streamlined, end-to-end pipelined acceleration.

Machine Vision

Smart Camera

This UltraHD smart camera implements face detection with network and display functionality. It comes with built-in machine learning for applications such as pedestrian detection, face detection, and people counting with local display and RTSP streaming.

AI Box with ReID

The AI Box with ReID accelerated application performs distributed, scalable, multi-stream tracking and Re-Identification. The app leverages machine learning for pedestrian tracking and decoding multiple camera streams and performs pedestrian detection and tracking across camera feeds. Common applications include smart cities, retail analytics, and video analytics.
Machine Vision

Defect Detection

The Defect Detection accelerated application is a machine vision app that automates detection of defects, (e.g., fruits, PCBs), and sorting in high-speed factory pipelines by using Vitis Vision library functions.
Machine Vision

Phoenix HDR ISP

Phoenix is an HDR Image Signal Processor (ISP) optimized for the Kria™ KV260 Vision AI Starter Kit. Combined with the Xfuse image sensor module, users can take advantage of this full featured ISP to custom develop vision and deep learning applications with real-time performance in high contrast environments with up to 120dB of dynamic range. Designed for plug-and-play performance with Kria SOM, the imaging module and system are ready for quick deployment in challenging environments encountered in AI, security, robotics, or consumer applications​.
Machine Vision

Aupera Face Recognition

Aupera Facial Recognition Solution is an end-to-end, commercially deployable solution for facial recognition in the field. Equipped with the Aupera proprietary best-in-class trained AI model, the solution has been in field deployment by Tier-1 customers. It comes with built-in machine learning for applications such as face detection, face recognition, mask detection, face recognition with mask, RTSP/RTMP streaming, and ONVIF interfacing.
Machine Vision

ROS 2 Multi-Node Communication via TSN

Synchronized Real Time Clocks are a key enabler for automation of complex processes and a deterministic behavior of a system with multiple sensors, actuators, and controllers. The Time-Sensitive Networking (TSN) Subsystem from AMD offers Time synchronization and the time-aware transmission of Ethernet Frames with low jitter. Because it comes with two external interfaces, it can be used for larger networks without needing an external TSN switch.
Robotics

ROS 2 Perception Node

The ROS 2 Perception Node accelerated application implements a subset of image_pipeline, which is one of the most popular packages in the ROS 2 ecosystem and a core piece of the ROS perception stack. It creates a simple computational graph consisting of two hardware accelerated nodes, resize & rectify, and leverages KRS framework for tracing and benchmarking.
Robotics

Demonstration Apps

Demonstration apps are similar to accelerated apps except they are intended for evaluation purposes only. Evaluate capabilities on a starter kit and inquire about next steps with the accelerated app provider.

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Interested in becoming a technology partner?

The Kria App Store offers a powerful platform to market your unique edge applications, algorithms, and IP cores using a standard infrastructure – Docker containers hosted on Docker Hub. The accelerated application format for delivering designs is the easiest way for AMD customers to evaluate your solution and is also streamlined for the application-focused solution developer compared to the traditional IP product development process.

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Kria System-on-Modules (SOMs)

Kria SOMs, a portfolio designed for edge deployment from starter kit to production, simplify system development, helping you get your product to market faster.

Kria System-on-Modules
Footnotes
  1. All performance benefits and/or time savings claims are provided by PROPHESEE and/or LogicTronix Technologies and have not been independently tested or verified by AMD. Performance benefits and time savings are impacted by a variety of variables. Results herein are specific to PROPHESEE and/or LogicTronix Technologies and may not be typical. GD-181