SBC ARI IMX8M PLUS

SBC ARI IMX8M PLUS

APPLICATION SECTORS: Industrial, Medical, Ambiental

With i.MX 8M Plus processor for Artificial Intelligence/Machine Learning due to Neural Processing Unit processing up to 2.3 TOPS is an intelligent vision system based on Dual Image Signal Processor with resolution up to 12MP and input rate up to 375MPixel/if a single interface in CSI MIPI for cameras.

In addition to the integrated AI/ML capabilities, the ARI SBC offers advanced multimedia features including:

• Video encode and decode engine
• Advanced 2D/3D graphics acceleration
• HDMI display
• Dual LVDS
• MIPI-DSI
• Dual GbE
• 2X USB 2.0
• DUAL CAN-FD
• A camera input

In 3.5″ format and SMARC 2.11 ensures complete modularity of the solution.

TPM 2.0-compliant security module to protect the integrity and authenticity of your embedded systems.

The i.MX 8M Plus processor, part of the EdgeLock Assurance program, is designed to meet industry standards and follows NXP’s security approach.

Longevity up to 15 years.

Software: YOCTO Kirkstone LTS

Application Fields

Machine learning has a wide range of application fields in different areas. Some examples include:

• Image recognition : machine learning is used to develop patterns that can be used to recognize objects, faces, actions, and other elements within images or videos. This finds application in fields such as :
  • Surveillance: thanks to Artificial Intelligence, the video surveillance system can recognize images, voices and even text taken by cameras for example:
    • Distinguish a human, from an animal or object
    • Recognize a face in a crowd
    • Count the number of objects and/or people at a given point
    • Analyze vehicles by license plate, model or color
    • Extrapolate the average age and sex of a person
    • Detect details such as glasses, hats, beards, etc
    • Recognize (to date) five facial expressions: sadness, happiness, surprise, anger and tranquility

• Industrial Automation: packaging quality control and assembly systems. automatic
• Medical Diagnostics: AI algorithms and real-time predictive analytics tools are being used to generate diagnoses faster to ensure timely care for patients
• Pharmaceuticals: defect control in pharmaceutical products ranging from the drug to the container to vials, syringes or bags