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.

“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

Read More »

NVIDIA DGX Spark Arrives for World’s AI Developers

News Summary: NVIDIA founder and CEO Jensen Huang delivers DGX Spark to Elon Musk at SpaceX. This week, NVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer, delivering NVIDIA’s AI stack in a compact desktop form factor. Acer, ASUS, Dell Technologies, GIGABYTE, HPI, Lenovo and MSI debut DGX Spark systems, expanding

Read More »

Open-source Physics Engine and OpenUSD Advance Robot Learning

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how

Read More »

“Introduction to DNN Training: Fundamentals, Process and Best Practices,” a Presentation from Think Circuits

Kevin Weekly, CEO of Think Circuits, presents the “Introduction to DNN Training: Fundamentals, Process and Best Practices” tutorial at the May 2025 Embedded Vision Summit. Training a model is a crucial step in machine learning, but it can be overwhelming for beginners. In this talk, Weekly provides a comprehensive introduction… “Introduction to DNN Training: Fundamentals,

Read More »

Upcoming Workshop Explores Deploying PyTorch on the Edge

On October 21, 2022 at noon PT, Alliance Member company Qualcomm, along with Amazon, will deliver the free (advance registration required) half-day in-person workshop “PyTorch on the Edge: Amazon SageMaker x Qualcomm® AI Hub” at the InterContinental Hotel in San Francisco, California. From the event page: Seamless cloud-to-edge AI development experience: Train on AWS, deploy

Read More »

D3 Embedded, HTEC, Texas Instruments and Tobii Pioneer the Integration of Single-camera and Radar Interior Sensor Fusion for In-cabin Sensing

The companies joined forces to develop sensor fusion based interior sensing for enhanced vehicle safety, launching at the InCabin Europe conference on October 7-9. Rochester, NY – October 6, 2025 – Tobii, with its automotive interior sensing branch Tobii Autosense, together with D3 Embedded, and HTEC today announced the development of an interior sensing solution

Read More »

Breaking Free from the CUDA Lock-in

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI hardware landscape is dominated by one uncomfortable truth: most teams feel trapped by CUDA. You trained your models on NVIDIA GPUs, deployed them with TensorRT, and now the thought of switching hardware feels like rewriting

Read More »

Upcoming Seminar Explores the Latest Innovations in Mobile Robotics

On October 22, 2022 at 9:00 am PT, Alliance Member company NXP Semiconductors, along with Avnet, will deliver a free (advance registration required) half-day in-person robotics seminar at NXP’s office in San Jose, California. From the event page: Join us for a free in-depth seminar exploring the latest innovations in mobile robotics with a focus

Read More »

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top