Object Tracking

Object Tracking Functions

Passenger Detection and Nighttime Safety – Exploring Infrared Technology

ADAS braking systems, night vision, and driver monitoring can all be enhanced using the infrared spectrum. IDTechEx‘s latest report, “Infrared (IR) Cameras for Automotive 2025-2035: Technologies, Opportunities, Forecasts“, explores long-wave infrared (LWIR), short-wave infrared (SWIR), and near-infrared (NIR) sensors as means to increase the safety and protection of road users. Long-wave infrared and autonomous possibilities

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Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB

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Top 4 Computer Vision Problems & Solutions in Agriculture — Part 2

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series we introduced you with the top 4 issues you are likely to encounter in agriculture related datasets for object detection: occlusion, label quality, data imbalance and scale variation. ‍In Part 2

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Top 4 Computer Vision Problems & Solutions in Agriculture — Part 1

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series, we highlight the 4 main issues you are likely to encounter in object detection datasets in agriculture. We begin by summarizing the challenges of applying AI to crop monitoring and yield

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What is Depth of Field and Its Relevance in Embedded Vision?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Depth of Field (DoF) is crucial for embedded vision since it can improve the ability to process and analyze visual data. It is impacted by factors such as aperture size, focal length, and more. Get

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“Embedded Vision Opportunities and Challenges in Retail Checkout,” an Interview with Zebra Technologies

Anatoly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, for the “Embedded Vision Opportunities and Challenges in Retail Checkout” interview at the May 2024 Embedded Vision Summit. In

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“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware

Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and meticulous attention to managing the

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“Multi-object Tracking Systems,” a Presentation from Tryolabs

Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2024 Embedded Vision Summit. Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this talk, Berneche walks through the construction of

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The Two Long-wave Infrared Innovations Required for a US$500M Market

Since thermal cameras have been an automotive technology for 25 years and are still not prevalent, it’s clear that developments are required for them to become a common choice in ADAS sensor suites. Although over 1.2 million on-road vehicles have thermal LWIR camera technology installed, this is 0.08% of the estimated total of 1.5 billion

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What Is Photobleaching, and How Does It Impact Medical Imaging?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Photobleaching is a major challenge in medical imaging, as it compromises the accuracy of fluorescent-based techniques. See how photobleaching works and find out how you can overcome this challenge to help medical applications enhance the

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