Unlocking Next-Gen Imaging: How FlexProc & FlexTrans Redefine High-Speed Vision
Pushing the Boundaries (Emergent Vision Technologies)

Unlocking Next-Gen Imaging: How FlexProc & FlexTrans Redefine High-Speed Vision

Machine vision applications are pushing the boundaries of high-speed capture, real-time AI analysis, and distributed processing. Traditional centralized processing methods struggle to keep up, introducing latency, bottlenecks, and scalability issues. That’s where FlexProc and FlexTrans, two groundbreaking features in Emergent Vision Technologies’ eCapture Pro software, deliver a paradigm shift in machine vision workflows.

Award-Winning Innovation

Emergent Vision Technologies’ commitment to innovation has been recognized with the inVISION News Top Innovations 2025 Award for FlexProc & FlexTrans. This award highlights technologies that enable new approaches, solve previous challenges, or significantly accelerate inspection procedures - reinforcing how these tools redefine high-speed vision applications.

The Challenge: Overcoming Processing and Data Transfer Bottlenecks

As camera networks grow in complexity, the need for scalable, real-time image processing becomes paramount. However, many systems face challenges such as:

  • CPU Overload: Legacy architectures depend on CPUs for processing, leading to performance bottlenecks.
  • Inefficient Data Transfers: Conventional data pipelines require multiple memory copies, increasing latency.
  • Limited Scalability: Synchronizing large-scale multi-camera deployments is resource-intensive and difficult to manage.

The Solution: FlexProc & FlexTrans


FlexProc & FlexTrans (Emergent Vision Technologies)

Emergent Vision Technologies introduces FlexProc and FlexTrans, two powerful tools within eCapture Pro, designed to revolutionize image processing and data flow.

FlexProc: Distributed, User-Defined Image Processing

FlexProc empowers users to assign and distribute image processing tasks dynamically across their network, enabling flexible, real-time vision applications.

? Graphical Drag-and-Drop Interface: Users can visually map out processing tasks using CPUs, GPUs, FPGAs, and Cloud resources.

? Plug-and-Play Processing: Utilize pre-built plug-ins or custom scripts to tailor workflows based on specific imaging requirements.

? Massively Scalable: Enables large-scale deployments, such as 64 GigE Vision cameras operating on a single server/GPU system.

? Optimized AI & Machine Learning: Integrate real-time deep learning models to improve accuracy and automation.

FlexTrans: Any Node-to-Node Data Transfers with Zero Latency

FlexTrans eliminates the inefficiencies of traditional data transfer methods, providing a seamless, high-performance pipeline for image data movement across networks.

? Direct-to-GPU Data Transfer: Bypasses unnecessary CPU processing by leveraging GPUDirect and zero-copy technology.

? Node-to-Node Flexibility: Move image data between GPUs within a server, across multiple servers, or even to the Cloud.

? Minimal Network Overhead: Unlike alternative transfer methods that triple network resource usage, FlexTrans optimizes bandwidth for the lowest latency.

? Intuitive Graph-Based Interface: No coding required—users simply connect processing blocks in eCapture Pro’s graph view to direct data flow.

Why You Should Care

1. Enhanced Performance & Real-Time AI Integration

FlexProc and FlexTrans enable machine vision applications to process massive amounts of image data in real time, making them ideal for AI-driven analytics, robotics, and automated inspection.

2. Seamless Scalability for Multi-Camera Setups

Unlike traditional systems, these technologies are designed to scale effortlessly, enabling users to integrate dozens of high-speed cameras without sacrificing performance.

3. Significant Cost Savings

FlexTrans’ efficient data handling reduces network resource consumption by up to 3x, directly translating to lower hardware costs while maximizing performance.

Real-World Applications

FlexProc & FlexTrans are already driving performance in real-world industrial applications, such as:

  • Industrial Automation: AI-powered defect detection, processing for example 21 high-speed 10GigE cameras on three NVIDIA GPUs within a single workstation, achieving real-time inspection without frame drops or high CPU load.
  • Volumetric Capture & Motion Tracking: Multi-camera synchronization for immersive 3D/4D content and real-time motion analysis.
  • Sports Analytics: High-speed tracking of athletes and ball dynamics with AI-enhanced insights.
  • Medical Imaging & Research: Ultra-fast, high-resolution imaging for AI-assisted diagnostics and biomedical analysis.

Conclusion: Future-Proofing High-Speed Vision

With FlexProc and FlexTrans, Emergent Vision Technologies continues to lead the charge in high-speed imaging innovation. These tools provide customers with the ultimate flexibility, scalability, and performance, ensuring that machine vision applications can push past traditional limitations.

Want to see FlexProc & FlexTrans in action? Contact us today to learn how these technologies can transform your imaging workflow.

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