Object Tracking

Object Tracking Functions

Automotive Radar Market 2025-2045: Robotaxis and Autonomous Cars

For more information, visit https://www.idtechex.com/en/research-report/automotive-radar-market-2025-2045-robotaxis-and-autonomous-cars/1061. The automotive radar market is forecast to hit 500 million annual sales in 2041 IDTechEx’s report, Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars, predicts the automotive radar market will hit 500 million annual sales in 2041. The market share today is dominated by the big tier-one companies like Continental,

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The Impact of AI On the Automotive Industry

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The automotive industry has undergone a profound transformation over the years, with technological advancements driving innovation at an unprecedented pace. One of the most influential technologies shaping the future of vehicles is Artificial Intelligence. AI’s integration into

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“Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio

Carter Maslan, CEO of Camio, presents the “Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the December 2024 Edge AI and Vision Innovation Forum. In this presentation, you’ll learn how vision language models interpret policy text to enable much more sophisticated understanding of scenes and human behavior compared with current-generation

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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… “Embedded Vision Opportunities and Challenges

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“Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras,” a Presentation from Wyze

Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly… “Cost-efficient, High-quality AI for Consumer-grade

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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… “Implementing AI/Computer Vision for Corporate

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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… “Multi-object Tracking Systems,” a Presentation

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“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla

Aishwarya Jadhav, Software Engineer in the Autopilot AI Team at Tesla, presents the “Improved Navigation Assistance for the Blind via Real-time Edge AI,” tutorial at the May 2024 Embedded Vision Summit. In this talk, Jadhav presents recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation… “Improved Navigation Assistance for the

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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.

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