These include a machine vision development kit from ADLINK suitable for industrial applications, a low-power dual-core processor with neural network accelerator from Maxim Integrated for use in battery-powered IoT devices, and a face recognition development kit from NXP Semiconductors.
Mouser also recently announced the release of its latest eBook from The Intelligent Revolution series, part of the Empowering Innovation Together programme.
The eBook, titled ‘Artificial Intelligence: A multi-faceted approach to safety’, provides a collection of resources examining potential use cases for AI and machine learning solutions. The eBook covers applications for AI in public health and safety, and how AI can lead to tangible improvements in the health and safety sectors.
The products highlighted above are available from Mouser, and include:
• The ADLINK Technology Vizi-AI machine vision AI development kit comprises a SMARC computer module based on an Intel Atom processor and an Intel Movidius Myriad X vision processing unit (VPU). Software support includes the Intel OpenVINO software development kit, which includes several ready-to-use, pre-built machine learning models. A collection of ADLINK neural model development tools is also included. With the kit, developers of industrial machine vision applications can rapidly prototype solutions that detect production line problems and deliver actionable insight to improve operational efficiencies.
• The Maxim MAX78000 processor incorporates two 32-bit microcontroller cores and an ultra-low-power network accelerator in a single package. The microcontroller cores, one an Arm Cortex-M4 and the other a RISC-V co-processor, provide system control and fast loading of the 442-kByte weight convolutional neural network. The device is highly optimised for battery-powered IoT edge devices and is capable of conducting inference 100 times faster and consuming 1/100th of the power of conventional microcontroller devices. An evaluation kit for the MAX7800 is also available.
• The NXP SLN-VIZNAS-IOT development kit provides a face recognition capability to IoT edge-based applications and includes a ‘liveness’ detection function that prevents spoofing by holding up a photo. Based around an NXP i.MX RT106F crossover processor, the kit includes 32 MBytes of SDRAM, 32 MBytes of flash memory, a PIR sensor and a combined Wi-Fi and Bluetooth® Low Energy wireless communication module. Wired connectivity is also provided through an on-board Ethernet controller. Comprehensive software support is available through the MCUXpresso IDE toolchain and a VIZNAS software development kit which includes a ‘lite’ version of the NXP OASIS machine learning vision engine.
