Development Tools

Development Tools for Embedded Vision

ENCOMPASSING MOST OF THE STANDARD ARSENAL USED FOR DEVELOPING REAL-TIME EMBEDDED PROCESSOR SYSTEMS

The software tools (compilers, debuggers, operating systems, libraries, etc.) encompass most of the standard arsenal used for developing real-time embedded processor systems, while adding in specialized vision libraries and possibly vendor-specific development tools for software development. On the hardware side, the requirements will depend on the application space, since the designer may need equipment for monitoring and testing real-time video data. Most of these hardware development tools are already used for other types of video system design.

Both general-purpose and vender-specific tools

Many vendors of vision devices use integrated CPUs that are based on the same instruction set (ARM, x86, etc), allowing a common set of development tools for software development. However, even though the base instruction set is the same, each CPU vendor integrates a different set of peripherals that have unique software interface requirements. In addition, most vendors accelerate the CPU with specialized computing devices (GPUs, DSPs, FPGAs, etc.) This extended CPU programming model requires a customized version of standard development tools. Most CPU vendors develop their own optimized software tool chain, while also working with 3rd-party software tool suppliers to make sure that the CPU components are broadly supported.

Heterogeneous software development in an integrated development environment

Since vision applications often require a mix of processing architectures, the development tools become more complicated and must handle multiple instruction sets and additional system debugging challenges. Most vendors provide a suite of tools that integrate development tasks into a single interface for the developer, simplifying software development and testing.

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Plainsight Appoints Venky Renganathan as Chief Technology Officer

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Plainsight Names Jonathan Simkins as President & CFO

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Snapdragon Stories: Four Ways AI Has Improved My Life

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“Object Detection Models: Balancing Speed, Accuracy and Efficiency,” a Presentation from Union.ai

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Synaptics Launches the Next Generation of Astra Multimodal GenAI Processors to Power the Future of the Intelligent IoT Edge

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“Depth Estimation from Monocular Images Using Geometric Foundation Models,” a Presentation from Toyota Research Institute

Rareș Ambruș, Senior Manager for Large Behavior Models at Toyota Research Institute, presents the “Depth Estimation from Monocular Images Using Geometric Foundation Models” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Ambruș looks at recent advances in depth estimation from images. He first focuses on the ability… “Depth Estimation from Monocular Images

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NVIDIA DGX Spark Arrives for World’s AI Developers

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