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Premium Enablement Service Designed to Elevate Customer Success with Edge AI Santa Clara, CA – September 9, 2025 – DeGirum®, a leader in edge AI software, announced the release of DeGirum Accelerate Program which combines expert guidance, hands-on workshops, and exclusive support to help teams quickly adopt, scale, and commercialize AI solutions.

Streamlining Vision Processing and AI Application Development for Industrial, Automotive, Defense, and Smart Retail Markets Santa Clara, CA – August 5, 2025 – DeGirum®, a leader in edge AI software, today announced the release of PySDK Enterprise, a commercial-grade software toolkit designed to streamline the development of edge AI applications. PySDK Enterprise

Seoul, South Korea – Santa Clara, CA – July 1, 2025 – DEEPX and DeGirum, leaders in edge AI technologies, have announced a strategic partnership aimed at delivering high-performance and scalable solutions. The partnership was formally signed on June 30th during a ceremony held at DeGirum's headquarters in Santa Clara, attended

Santa Clara, CA – May 28, 2025 – DeGirum® a leader in edge AI software, announces the release of DeGirum Cloud Services (DCS)—a powerful suite of tools designed to give enterprises greater control of their edge AI development and deployment processes. ProSpace, part of the DCS offering, is an enterprise-grade tool

Santa Clara, CA – April 22, 2025 – DeGirum®, a leader in edge AI software, announced the availability of its flagship PySDK for Microsoft Windows®, empowering developers to create edge AI applications on the Windows platform. With just two lines of code, DeGirum's PySDK delivers a unified, intuitive software stack

Developing AI Applications for the Edge: A New Approach Exciting advances in hardware, software, and AI models are reshaping edge AI development—but selecting the right hardware remains a challenge. In Designing Electronics North America, Bill Eichen, VP of Business Development at DeGirum, breaks down the complexities of AI hardware

Lanner Edge AI Platform (OrchestrAItor®) Powered by DeGirum Software Comprehensive Platform Enables Customers to Rapidly Create and Deploy Interoperable Solutions with Leading Edge AI Processors and Accelerators Fremont, CA and Santa Clara, CA – March 4, 2025 – Lanner® and DeGirum®, leaders in Edge AI, have partnered to introduce a software-based AI

Supports Leading Accelerators and AI Edge Processors with 1000+ Available Models Santa Clara, CA – January 13, 2025 – DeGirum®, a leader in edge AI software, announced the release of its AI Hub, an accessible evaluation platform designed to simplify AI prototyping and development at the edge. DeGirum’s AI Hub enables

Bill Eichen, DeGirum’s Vice President of Business Development, recently joined BrainChip’s Chief Marketing Officer, Steve Brightfield, on the BrainChip podcast for a discussion about the latest advancements in edge AI. Recorded live at CES 2025, the conversation highlighted the potential of edge AI across industries, the growing ecosystem

Max Maxfield’s recent article, “Streaming AI Development and Deployment at the Edge,” in EE Journal, highlights key innovations in edge AI, including DeGirum’s contributions to simplifying edge AI development. Key Mentions of DeGirum Pioneering Hardware-Agnostic AI Solutions DeGirum’s approach to edge AI development is noted for its

Focused on Vision Processing, Industrial, Automotive, and Smart Retail Applications Development Santa Clara, CA – December 3, 2024 – DeGirum®, a leader in edge AI, announced the release of its hardware-agnostic PySDK, designed to streamline AI development at the edge. DeGirum’s PySDK provides a unified software stack that allows developers to

The past few years have seen a dramatic surge in the number of hardware accelerators for running AI inference at the edge. These offerings, instead of making life easier for developers, have turned the process of developing edge AI applications into a complex, expensive, time consuming, and frustrating experience. Complex

Introduction Object detection on a video stream with object counting in a polygon zone is a sophisticated application of artificial intelligence (AI) that finds extensive use in various fields, including surveillance, traffic management, and industrial automation. This technology leverages advanced computer vision techniques to identify and track objects within a

Pipeline model refers to the organized orchestration of multiple models in a sequential manner to achieve a specific objective. The concept of pipelined models involves chaining together multiple independent models, creating a sequential workflow where the output of one model serves as the input for the next. Here are some

Introduction AI models for object detection on a video stream with multi-object tracking and line intersection counting represent an advanced application of computer vision that is widely employed in surveillance, traffic management, and various other domains. This sophisticated technology combines the capabilities of object detection, multi-object tracking, and counting to