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IWAVE I.MX8M MINI BOARD WITH NXP EIQ ML SOFTWARE ENABLES LOW COST FACIAL RECOGNITION SYSTEM

Summary of IWAVE I.MX8M MINI BOARD WITH NXP EIQ ML SOFTWARE ENABLES LOW COST FACIAL RECOGNITION SYSTEM


iWave Systems demonstrated a zero-contact facial recognition access solution to reduce infection risk from shared touch surfaces. Their demo runs on an iWave development board based on the NXP i.MX 8M Mini processor, paired with a 1080p MIPI camera, a 1920x1080 MIPI display, and multiple connectivity options, using NXP eIQ ML software to enable edge-based face capture and matching for secure access in commercial, residential, transportation, banking, and government environments.

Parts used in the Facial Recognition Access System:

  • iWave development board (NXP i.MX 8M Mini applications processor)
  • MIPI Camera module (1080p@30 fps)
  • MIPI Display (1920 x 1080 @60 fps)
  • NXP eIQ machine learning software
  • SODIMM form factor edge computing platform
  • Multiple connectivity options (unspecified)

Have you recently been sceptical of using a contact-based access system in your office or a public place? This trait is a major concern in most places for a valid reason. An access surface in a public place is used by many individuals, which makes it a potential source for contracting the deadly Covid 19 virus.

IWAVE I.MX8M MINI BOARD WITH NXP EIQ ML SOFTWARE ENABLES LOW COST FACIAL RECOGNITION SYSTEM

Taking this into account, iWave Systems, a leading embedded solutions provider, has successfully demonstrated an alternative solution using facial recognition technology. The solution helps customers with a zero-contact access application by using individuals’ faces to authorize access to a commercial/industrial space, home/office, transportation, banking, and Government sites.

Facial Recognition:

Facial Recognition is the process of recognizing the identity of a person by using their facial features against a previously stored database.

It is a technology that uniquely identifies or verifies a person by comparing and analysing patterns based on the person’s facial details. The face capture process transforms the analogy information into a set of digital information, while the face match process verifies the information with a database of known faces to find a match.

iWave Solution :

The facial recognition demo is running on iWave’s development board based on the NXP® i.MX8M Mini applications processor. The power-efficient edge computing platform with a SODIMM form factor is coupled with a MIPI Camera module (1080p@30 fps) , MIPI Display (1920 x1080 60fps), and multiple connectivity options. Through the support of key features such as camera, display, connectivity, and the NXP eIQ machine learning software, the i.MX 8M Mini board provides an intelligent platform for the development of facial recognition systems.

Read more: IWAVE I.MX8M MINI BOARD WITH NXP EIQ ML SOFTWARE ENABLES LOW COST FACIAL RECOGNITION SYSTEM

Quick Solutions to Questions related to Facial Recognition Access System:

  • What problem does the facial recognition solution address?
    It provides a zero-contact access application to reduce infection risk from shared touch surfaces like access panels.
  • What processor is the iWave development board based on?
    The board is based on the NXP i.MX 8M Mini applications processor.
  • What camera specifications are used in the demo?
    The demo uses a MIPI Camera module at 1080p and 30 fps.
  • What display is used with the iWave board for the demo?
    A MIPI Display with 1920 x 1080 resolution at 60 fps is used.
  • What software enables machine learning for the facial recognition demo?
    NXP eIQ machine learning software supports the facial recognition demo.
  • Where can this facial recognition access solution be applied?
    It can be used for commercial and industrial spaces, homes and offices, transportation, banking, and government sites.
  • Does the system perform face matching locally?
    Yes, the i.MX 8M Mini board provides an intelligent edge platform for face capture and match processes.
  • What form factor is the edge computing platform?
    The platform uses a SODIMM form factor.

About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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