This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In microscopic imaging, pixelation is one of the most commonly occurring artifacts, as the camera subjects are micro-level. Pixelation artifact occurs when the magnification surpasses an image sensor’s capabilities, by which indistinct pixel boundaries appear. […]
This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. The retail landscape has changed significantly in recent years, propelled by technological advancements. The COVID-19 pandemic posed new challenges to traditional retail spaces, which resulted in the need for more innovative communication mediums. To offer customers memorable
Revolutionizing Offline Advertising With Smart Signages and Embedded Vision Read More +
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. In the realm of smart edge devices, signal processing and AI inferencing are intertwined. Sensing can require intense computation to filter out the most significant data for inferencing. Algorithms for simultaneous localization and mapping (SLAM), a type
Oriented FAST and Rotated BRIEF (ORB) Feature Detection Speeds Up Visual SLAM Read More +
At Onit, we’re revolutionizing the efficiency and safety standards in warehouse environments through edge AI and computer vision. Leveraging our state-of-the-art Dragonfly and RTLS (real-time locating system) applications, we address the complex challenges inherent in chaotic and labor-intensive operations. Our Dragonfly technologies are taking workplace safety to new heights with the latest release of Dragonfly
Achieving a Zero-incident Vision In Your Warehouse with Dragonfly Read More +
The Global In-Cabin Sensing Market Will Exceed US$8.5 Billion by 2034 In-cabin monitoring, comprising both Driver Monitoring System (DMS) and Occupancy Monitoring System (OMS), has experienced significant growth since the start of 2024. Traditionally, DMS relies on 2D infrared cameras, while OMS utilizes 3D sensing modules like 3D time-of-flight (ToF) cameras or radar modules. At
The Integration of DMS and OMS Offers Advancements for In-cabin Monitoring Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Precision agriculture techniques have grown exponentially in the last decade due to the ever-advancing camera technologies. In this blog, we explore how a 20MP high-resolution AR2020 sensor-powered camera and its functionality help enhance precision agriculture
Prashant Mehta, Technical Imaging Expert at FRAMOS, demonstrates the company’s latest edge AI and vision technologies and products at the March 2024 Edge AI and Vision Alliance Forum. Specifically, Mehta demonstrates his company’s new FSM:GO optical imaging module product line. The details of this demonstration are as follows: Based on a 1080p video module, the
This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. The Quick Service Retail (QSR) industry is perpetually evolving, with technological advancements playing a pivotal role in shaping customer experiences and operational efficiencies. The Quick Service Restaurant (QSR) industry, a vibrant and ever-evolving segment of the modern
How LiDAR Helps Quick Service Restaurants Enhance Operations and Customer Experience Read More +
This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. Airports, as critical transportation hubs, play a dual role in ensuring passenger safety and maintaining a smooth flow of travelers. Balancing these two aspects is a challenging endeavor, especially in the face of evolving security threats and
Balancing Safety with Efficiency: How LiDAR Transforms Airport Passenger Flow Read More +
For more information, visit https://www.idtechex.com/en/research-report/lidar-2024-2034-technologies-players-markets-and-forecasts/995. The global market for lidar in automotive will reach US$9.5 billion by 2034 TOF or FMCW detection; mechanical, MEMS, OPA, flash, liquid crystal and other solid-state lidar for ADAS, autonomous vehicles, industrial, smart city, security and mapping with automotive focus In recent years, with the development and progress of autonomous-driving
Lidar 2024-2034: Technologies, Players, Markets & Forecasts Read More +
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