Tutorial: Quick Start Video Guide – How to run a vision application on the iam smart camera

Our experts from product management and R&D discuss the system setup, show how to integrate and to initiate iam, and run real application examples directly on the smart camera. Free tutorial >

Video Contents

Introduction: GigE Vision, SDK, SynView

Live demo 1: Overview
– Initial connection with camera as GigE Vision device via GigE Vision server
– Connection with camera via SSH/X11/remote desktop
– Running SynView on the PC and on the camera
– Summary and lessons learned

Live demo 2: Overview
– Running a demo application with OpenCV on a PC
– Compiling and running a demo application in OpenCV on the camera

About iam

iam sets new standards for vision-based self-sufficient decision-making and control processes. The system architecture featuring CPU and FPGA on one chip allows for better, more efficient system performance. iam uses the available options for hardware acceleration on the system-on-chip design. Its additional FPGA resources enable high-performance neural networks and conventional algorithms to be used more efficiently for image processing.

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