Blog Posts

How Do Surround-view Cameras Improve Driving and Parking Safety?

Automotive, Blog Posts, e-con Systems, Object Identification, Object Tracking, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. As vehicles become more complex, their need for accurate imaging has increased. This has driven the adoption of surround-view cameras. They give drivers a complete, real-time, 360-degree view of the vehicle, thereby improving situational awareness […]

How Do Surround-view Cameras Improve Driving and Parking Safety? Read More +

R²D²: Training Generalist Robots with NVIDIA Research Workflows and World Foundation Models

Algorithms, Blog Posts, NVIDIA, Processors, Robotics, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. A major challenge in robotics is training robots to perform new tasks without the massive effort of collecting and labeling datasets for every new task and environment. Recent research efforts from NVIDIA aim to solve this challenge

R²D²: Training Generalist Robots with NVIDIA Research Workflows and World Foundation Models Read More +

Edge AI Today: Real-world Use Cases for Developers

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Developers today face increasing pressure to deliver intelligent features with tighter timelines, constrained resources, and heightened expectations for privacy, performance, and accuracy. This article highlights real-world Edge AI applications already in production and mainstream use—providing actionable inspiration

Edge AI Today: Real-world Use Cases for Developers Read More +

How Driver Monitoring Cameras Improve Driving Safety and Their Key Features

Automotive, Blog Posts, e-con Systems, Emotion Discernment, Face Detection, Face Recognition, Object Identification, Object Tracking, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Driver monitoring cameras have become widely accepted as a force in improving road safety. They go a long way to address the risks associated with driver inattention and fatigue by helping continuously observe driver behavior.

How Driver Monitoring Cameras Improve Driving Safety and Their Key Features Read More +

Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa

Algorithms, Blog Posts, NVIDIA, Object Identification, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Human action recognition is a capability in AI systems designed for safety-critical applications, such as surveillance, eldercare, and industrial monitoring. However, many real-world datasets are limited by data imbalance, privacy constraints, or insufficient coverage of rare but

Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa Read More +

Video Self-distillation for Single-image Encoders: Learning Temporal Priors from Unlabeled Video

Algorithms, Blog Posts, Nota AI, Software, Tools /

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Proposes a simple next-frame prediction task using unlabeled video to enhance single-image encoders. Injects 3D geometric and temporal priors into image-based models without requiring optical flow or object tracking. Outperforms state-of-the-art self-supervised methods like DoRA

Video Self-distillation for Single-image Encoders: Learning Temporal Priors from Unlabeled Video Read More +

Comparing Synthetic Data Platforms: Synetic AI and NVIDIA Omniverse

Algorithms, Blog Posts, Software, Synetic AI, Tools /

This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. This blog post compares Synetic AI and NVIDIA Omniverse for synthetic data generation, focusing on deployment-ready computer vision models. Whether you’re exploring simulation tools or evaluating dataset creation platforms, this guide outlines key differences and

Comparing Synthetic Data Platforms: Synetic AI and NVIDIA Omniverse Read More +

Optimizing Your AI Model for the Edge

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Key takeaways: We talk about five techniques—compiling to machine code, quantization, weight pruning, domain-specific fine-tuning, and training small models with larger models—that can be used to improve on-device AI model performance. Whether you think edge AI is

Optimizing Your AI Model for the Edge Read More +

Why HDR and LED Flicker Mitigation Are Game-changers for Forward-facing Cameras in ADAS

Automotive, Blog Posts, e-con Systems, Object Identification, Object Tracking, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In ADAS, forward-facing cameras capture traffic signs, signals, and pedestrians at farther distances using a narrow field of view (FOV). This narrower angle enables the camera to focus on distant objects with greater accuracy, making

Why HDR and LED Flicker Mitigation Are Game-changers for Forward-facing Cameras in ADAS Read More +

Best-in-class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it

Best-in-class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy 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.

Pages

Topics

Contact

Address

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

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