Ai-Engine

A turnkey AI framework for multimedia edge applications

Fluendo AI Engine is our in-house engine designed to execute AI algorithms in multimedia applications in real-time. It combines Fluendo’s decades of experience in video and multimedia with deep expertise in artificial intelligence.

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VALUE PROPOSITION

We ensure exclusive solutions to keep power under control

FLEXIBILITY AND CUSTOMIZATION

We tailor the engine to client needs, optimizing performance, accuracy, and speed based on project and hardware requirements.

continuous innovation

Our in-house engine allows us to stay ahead of AI and video processing trends, delivering cutting-edge solutions.

SUPPORT AND MAINTENANCE

As the engine’s developers, we offer specialized support and rapid, customized maintenance when needed.

FLEXIBILITY AND CUSTOMIZATION

We tailor the engine to client needs, optimizing performance, accuracy, and speed based on project and hardware requirements.

continuous innovation

Our in-house engine allows us to stay ahead of AI and video processing trends, delivering cutting-edge solutions.

SUPPORT AND MAINTENANCE

As the engine’s developers, we offer specialized support and rapid, customized maintenance when needed.

FEATURES

Our experience in your hands: Time to empower your multimedia projects with Fluendo AI Engine

Versatile integration

Fluendo AI Engine integrates with multiple APIs and programming languages, easily incorporating it into existing workflows and systems. This flexibility allows businesses to adopt this technology without overhauling their current infrastructure.

With bindings available for C++, Python, and C# and integration with GStreamer, clients can easily embed Fluendo AI Engine into their existing codebases, eliminating the need for significant application changes. This ensures a smooth and efficient integration process, minimizing disruption while maximizing the technology’s value.

Versatile integration

Integration with GStreamer

If your application is based on GStreamer, the AI Engine offers an optional module for direct integration with your GStreamer pipeline. If desired, we can develop self-contained GStreamer plugins to perform your AI tasks fully isolatedly.

Integration with GStreamer

Truly cross-platform

With AI Engine, the client code is written once and compiled without changes across multiple hardware environments and operating systems. It automatically selects the best available hardware on the machine, whether it’s AMD, Intel, or NVIDIA GPUs, ensuring an optimal workflow pipeline. Additionally, our engine supports video from multiple graphic APIs, such as DirectX12 and Vulkan, allowing for more efficient operation across a wide range of applications and systems.

// Inputs setting
fsai::Image image(file);
auto engine = fsai::EngineFactory::createByType("dml");
auto texture = engine->createTexture(image);

// Specific API setting
fsai::sports::strongsort::ModelDetectionFastGeneric model{“models”};
fsai::sports::strongsort::DetectorFastGeneric detector{modelGeneric, engine};

// Inference
auto detections = detector.push(texture);

// Get bounding boxes
for (auto& detection : detection){
   const auto& coords = detection.getBoundingBox() ; }

// Inputs setting
var image = Fsai.Image(file);
var engine = new Fsai.EngineFactory.CreateByType("dml");
var texture = engine.CreateTexture(image);

// Specific API setting
var model = Fsai.Sports.Strongsort.ModelDetectionFastGeneric(“models”);
var detector  =  Fsai.Sports.Strongsort.DetectorFastGeneric(model, engine);

// Inference
auto detections = detector.Push(texture);

// Get bounding boxes
foreach (Fsai.Sports.Strongsort.Object detection in detections){
   var coords = detection.GetBoundingBox();}

## Inputs setting

image = fsai.Image(file);
engine = fsai.Engine_factory.create_by_type("dml")
texture = engine.Create_texture(image)

## Specific API setting
model = fsai.sports.strongsort.model_detection_fast_generic(“models”)
detector  =  fsai.sports.strongsort.detector_fast_generic(model, engine)

## Inference
detections = detector.push(texture)

## Get bounding boxes
for detection in detections: 
coords = detection.get_bounding_box()

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Ai-Engine

A turnkey AI framework for multimedia edge applications

We ensure exclusive solutions to keep power under control

FLEXIBILITY AND CUSTOMIZATION

continuous innovation

SUPPORT AND MAINTENANCE

FLEXIBILITY AND CUSTOMIZATION

continuous innovation

SUPPORT AND MAINTENANCE

Our experience in your hands: Time to empower your multimedia projects with Fluendo AI Engine

Versatile integration

Versatile integration

Integration with GStreamer

Integration with GStreamer

Truly cross-platform

Blog

Read more about our work

AI-based soccer metrics extraction app

Non-assisted scene calibration: an innovative impact on sports analysis

Assisted scene calibration for sports analysis

Improving AI-based Football Detection and Tracking with Transfer Learning