text.skipToContent text.skipToNavigation

 

Future Intelligent Solutions

 

Artificial Intelligence Solutions for the Network Edge

Future Electronics has a global team of specialist engineers with decades of experience in microprocessor and FPGA embedded processing applications.

They are available to help you select the best solution for your AI application.

We offer Artificial Intelligence edge solutions from multiple manufacturers of IC products, modules/boards and development tools.

Explore now

Future Electronics Artificial Intelligence Solutions

While developers may choose to perform AI inferencing in the cloud, where hardware resources are hardly constrained, there are often good reasons for embedded systems to perform inferencing locally at the network edge, including:

  • Lower latency
  • Simpler hardware with less maintenance
  • Immunity to poor network connections
  • No costs associated with network data transfer
  • Security against malware and other network-borne attacks

Local inferencing may be performed on a range of devices which embedded developers are already familiar, including microcontrollers, microprocessors/SOMs/SBCs and FPGAs. Through analysis of time-series sensor data and utilization of neural network models, they enable a broad set of applications such as the detection or identification of objects, gestures, keyword phrases, and industrial system anomalies.

 


Product Families

AI edge solutions are available from multiple manufacturers of IC products, modules/boards and development tools. Demonstrations are available today for the following manufacturers and product families:

  Description Manufacturers
Processor solution with built-in peripherals for event-based applications NXP, Renesas, STMicroelectronics
Advanced processor solution with more/faster cores and interfaces, larger memory, virtual machine support and ability to run Linux/Windows/Android NXP, Renesas, STMicroelectronics
Parallel processing solution with large number of high-speed/customizable interfaces and optional soft or hard processing cores Lattice Semiconductor, Microchip (Microsemi), QuickLogic
SOMs/SBCs Complete system on module or single board computer solution with microprocessor/FPGA, memory and power management for faster time to market AAEON, Advantech, Compulab, iWave Systems, Ka-Ro, Technexion
Development Tools Software solutions for Cortex-M class microcontrollers to streamline collection or labeling of training data, optimize algorithms and validate code without data science expertise QuickLogic/SensiML, STMicroelectronics

 

Solutions by Application

A list of applications and products that have been demonstrated to address them are included in the table below, where you can follow links to view demos and check stock. Choice of product will depend on specific application requirements including speed and accuracy.

  Microcontrollers & Tools Microprocessors FPGAs/SoCs
Predictive Maintenance / Condition Monitoring / Anomaly Detection
  • NXP i.MX RT1060 (Demo)
  • SensiML Analytics Toolkit (Demo)
  • STMicroelectronics NanoEdge AI Studio (Demo)
  • Renesas RX66T (Demo | Stock)
  • QuickLogic EOS S3AI (Stock)
Activity Recognition
  • SensiML Analytics Toolkit (Demo)
  • ST LSM6DS0X (Demo | Stock)
  • ST NanoEdge AI Studio (Demo)
 
  • QuickLogic EOS S3AI (Stock)
Gesture Detection
  • Microchip SAM C21 (Demo)
  • SensiML Analytics Toolkit (Demo)
  • Renesas RZ/A2M
Sound Analysis
  • ST STM32L4 (Stock)
  • SensiML Analytics Toolkit (Demo)
 
  • QuickLogic EOS S3AI (Stock)
Key Phrase Detection / Voice Control
  • NXP i.MX RT106S (Demo)
 
Face Expression Recognition
  • NXP i.MX 8M Plus
 
Face Detection
  • NXP i.MX RT106F (Demo)
  • NXP LS1046A (Demo | Stock), i.MX 8 (Stock) and i.MX 8M Plus
  • Renesas RZ/A2M
Face or Object Tracking / Onlooker Detection    
Traffic Monitoring    
Human or Object Detection
  •  STMicroelectronics STM32H747 (Demo)
Human or Object Counting  
Pose Detection  
  • NXP i.MX 8M Plus (Demo)
  • Renesas RZ/V2M (Demo)
 
Image or Object Classification / Recognition
Facial Recognition / Identification

 

Future Electronics Development Kits

In addition to manufacturer board platforms available for the individual devices listed above, these additional kits designed by Future Electronics System Design Centers (SDC) may be used in the development of your AI application.

Avalanche Development KitPrimo Development Kit

Platform with Microchip MPF300TS 300kLE PolarFire FPGA and VSC8531 Gigabit Ethernet PHY, Panasonic PAN9420 WiFi module, and Arduino/mikroBUS/PMod connectors, ideal for object detection and monitoring in smart embedded vision applications.
Learn More
Watch Demo Video

Compagno Development BoardCompagno Development Kit

STWIN development kit which provides training and valuable information about Machine Learning (ML). Designers can perform cloud air quality demos with Scriptr using this board.
Learn More
Compagno-SensiML AI/ML Solution
Watch Demo Video

Northern Lights Demonstration Kit

Northern Lights Demonstration Kit

Platform combines machine learning with vision and digital signal controller technologies to provide an all-in-one demonstration for object recognition-based motor control applications. It includes a Video Board with a color CMOS image sensor and a low cost, low power FPGA; a Display Module with color OLED panel; and a Motor Control Board with a digital signal controller.
Learn More
Watch Demo Video

 

Introduction to Artificial Intelligence Seminar