Future Electronics
The Current Video Podcast by Future Electronics

How to Simplify Image Sensor Implementation for Facial and Object Recognition

The need for facial or object recognition in today's applications is increasing. Let's dive right in!

Season 1: Episode 3

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How to Simplify Image Sensor Implementation for Facial and Object Recognition

With the need for facial or object recognition in more applications today, integrating MIPI based camera sensors to assorted processors can be a challenge for design engineers.

In this episode of The Current, Todd Baker speaks to our very own Intelligent Sensing Engineer, Don Gunn, who takes us through new solutions he has developed to make proof of concepts easier, and how engineers can build their own camera enabled embedded systems with NXP’s i.MX or Renesas’s RZ processors and onsemi imaging sensors.

NXP i.MX Applications Processors

Built on a foundation of scalability, energy efficiency, security, machine learning and connectivity, learn more about our NXP i.MX applications processors.

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onsemi Image Sensors

Look to onsemi image sensor to satisfy the requirements of numerous end applications such as wearables and consumer electronics to demanding industrial and automotive applications.

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Renesas Embedded Processors

Looking to lower the barriers to entry for embedded microprocessor design? Renesas RZ MPUs are your answer, whether you need support for 3D graphics and full high-definition video, industrial-grade Linux, multi-protocol industrial Ethernet or the highest performance precision motor control, or more.

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Facial Recognition Technology in Today's Society

In terms of applications and use cases, facial recognition is growing in consumer electronics such as smartphones, and applications such as screening, authentication, and more. In light of the COVID-19 pandemic, medical applications have also needed this technology.

When it comes to software, facial recognition is also growing in applications such as security programs and forensics. 

Object Recognition In Today's Society

Object detection, similar to facial recognition, has also been used in many applications such as human to computer interactions, consumer electronics, security and even robotics. All require different characteristics: durability, processing time, flexibility and other variations, which can be a challenge for design engineers. 

Why Facial and Object Recognition Will Not Go Away

There are several reasons why use cases of facial and object recognition technologies are increasing. First, demand is increasingly high due to the pandemic, where sanitary measures have become crucial. Due to hygiene concerns, companies are having to find ways to identify rather than with finger prints; retailers implementing transaction capabilities without touch, and more.

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