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AI Module for Industrial Systems

A system-on-module brings AI processing, video analytics, and machine learning to edge devices, helping engineers build robotics, surveillance, and automation systems.

SL1680 OPTIMA SOM

SL1680 OPTIMA SOM

Calixto Systems has launched the SL1680 Optima System-on-Module (SOM), an edge AI platform designed for computer vision, video analytics, robotics, and industrial automation applications. The module enables artificial intelligence (AI) inference directly on devices, allowing systems to process data locally and respond in real time without relying on cloud connectivity.

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Built around the Synaptics SL1680 processor, the SOM combines a quad-core Arm Cortex-A73 processor running at 2.1 GHz with a neural processing unit (NPU) delivering more than 7.9 TOPS (trillion operations per second) of AI performance. This computing capability allows developers to deploy machine learning models for tasks such as object detection, image recognition, and video analysis at the edge.

The module is intended for applications including surveillance, industrial monitoring, robotics, human-machine interfaces, and edge devices. By processing data closer to the source, the platform can reduce latency while supporting operation in industrial environments.

To support vision-based applications, the SL1680 Optima SOM integrates graphics, imaging, video, and audio processing capabilities. It supports 4K video decoding, 1080p video encoding, and multiple deep neural network frameworks. Dual MIPI CSI-2 camera interfaces allow connection of cameras, while display support includes MIPI DSI and HDMI 2.1 transmit and receive interfaces.

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The SOM also offers connectivity options for integration into embedded and industrial systems. These include Gigabit Ethernet, Peripheral Component Interconnect Express (PCIe) 2.0, Universal Serial Bus (USB) 3.0, USB 2.0 On-The-Go (OTG), Secure Digital Input Output (SDIO), Universal Asynchronous Receiver/Transmitter (UART), Serial Peripheral Interface (SPI), and Inter-Integrated Circuit (I²C) interfaces. Audio interfaces include Inter-IC Sound (I²S), Pulse Density Modulation (PDM), and Sony/Philips Digital Interface (S/PDIF).

Memory options include up to 4 GB Low-Power Double Data Rate 4 (LPDDR4) RAM and up to 16 GB embedded MultiMediaCard (eMMC) storage. Security features such as secure boot, memory scrambling, integrity checking, and a true random number generator help protect system operation and data.

Supporting Linux Kernel 6.12 and Yocto Project environments, the SL1680 Optima SOM provides developers with a platform for building AI-enabled products that combine edge processing, multimedia capabilities, and industrial connectivity.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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