iWave Systems i.MX8M Mini Devkit Targets Low-cost Facial Recognition Systems

iwave systems imx8m mini devkit
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iWave Systems i.MX8M Mini Board is a development platform based on an update versions of the company’s iW-RainboW-G34M-SM i.MX 8M Mini system-on-module and designed specifically for low-cost facial recognition systems thanks to NXP eIQ ML software, and MIPI display and camera.

iWave Systems i.MX8M Mini (aka iW-RainboW-G34D) specifications:

  • SoM
    • SoC – NXP i.MX8M Mini Q/QL/D/DL/S/SL with up to 4x Cortex-A53 cores,  1x Cortex-M4F real-time core, Vivante 3D and 2D GPUs
    • System Memory – 1GB LPDDR4 (Expandable up to 4GB)
    • Storage – 8GB eMMC Flash (Expandable), optional 2MB QSPI Flash optional Micro SD slot
    • Wireless – Dual-band 802.11a/b/g/n/ac WiFi 5 and Bluetooth 5.0.
    • PMIC – BD71847AMWV
  • i.MX8M SODIMM Carrier Board
    • Storage – MicroSD slot
    • Display I/F – MIPI DSI display connector
    • Camera I/F – MIPI CSI camera connector
    • Audio – Audio codec, 3.5mm Line In/Out jack
    • Networking – Up to 2x Gigabit Ethernet ports (One is Optional)
    • USB – 2x USB 2.0 Host ports, 1x USB 2.0 device port
    • Debugging – Serial console on Micro USB Port, JTAG header
    • Expansion – 1x Data UART, GPIO Header, eCSPI (Enhanced Configurable Serial Peripheral Interface) header
    • Misc – RTC Coin cell, boot mode switch; ON/OFF, reset Switch
    • Dimensions – 100 x 72 mm (Pico-ITX form factor)
  • Display – 5.5” HD AMOLED MIPI DSI display
  • Camera –  OV5640 camera module up to 1080p30
  • Power Supply – 5V @ 1A DC Input
  • Temperature Range – 0°C to +60°C
  • Compliance – REACH & RoHS

iwave systems imx8m mini boardThe board supports Linux 4.14.98, and Android 9.0. NXP eIQ machine learning software is based on OpenCV and includes pre-optimized libraries and tools for computer vision applications. C++, Python, and Java API, and integration with MCUXpresso SDK and Yocto development environments aims to accelerate the development flow of the ML applications.

A facial recognition demo is included with the development kit. It relies on a Qt5 GUI, eIQ OpenCV ML software to compare the faces captured by the camera against registered face images in a database using the Django framework. The board also sends real-time data to the cloud via Ethernet and WiFi, so that authorized access and unauthorized detection can be visualized on a web dashboard.

NXP i.MX 8M MINI Facial Recognition Demo
Facial Recognition Demo Block Diagram part of iWave Devkit

One of the main use cases of the development kit is access control with face recognition solutions being much safer than fingerprint-based access control solutions in the time of COVID-19, as it enables zero-contact access application by using individuals’ faces to authorize access to a commercial/industrial space, home/office, transportation, banking, and government sites.

There’s no information about availability nor pricing. You may read a bit more about the solution on the press release, and/or contact the company via the product page.

Via LinuxGizmos

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