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Weekly Wiki

Greetings​

This is Frank in Seeed Studio and welcome to the Seeed Studio weekly wiki! Each Monday, I will introduce you our latest wiki, including the ones related to our new products, the interesting projects published by Seeed Studio, and the tutorials, introductions, etc... You name it.

✨ For each week, when a collaborator contributes a project or fixes something important, we put the stars at the end of title of "Weekly Wiki" for more people be able to see their efforts👍.

Today is January 6th, and a brand new week has begun! Check out what Seeed Studio did last week!

Latest Wiki Launched​

Getting with RS485 Vision AI Camera​

The Seeed Studio RS485 Vision AI Camera is an intelligent device that combines an ESP32-C3 MCU (Seeed Studio XIAO) with a Himax WiseEye2 HX6538 processor, featuring dual-core Arm Cortex-M55 and an integrated Ethos-U55 neural processor. This advanced camera delivers high-performance AI recognition at 480×480 resolution and 10 FPS, while maintaining low power consumption through flexible options for transmitting inference results. With its standard Modbus RS485 interface, it seamlessly integrates with industrial systems and supports both LoRaWAN and 4G connectivity through SenseCAP DTUs or other standard RS485 DTU devices.

Getting Started with SenseCAP Vision AI V2​

TinyML AI models run locally, transmitting only inference results via LoRaWAN® (863-928MHz) for privacy and power efficiency. Operating at 480×480 resolution and 10 FPS, it features pre-deployed models for human detection, people counting, and meter reading. Users can access 300+ pre-trained models or train custom models via the SenseCraft AI platform, and deploy models from TensorFlow Lite or PyTorch. The device is configurable via the SenseCraft App, IP66-rated, and suitable for both indoor and outdoor use with long-range communication, powered by a built-in battery.

Deploying models to SenseCAP A1102 with SenseCraft AI​

SenseCraft AI with A1102 enables easy deployment of AI models on the SenseCAP A1102 device. With Vision AI V2 and 8GB of memory, it supports image recognition, real-time data processing, and local storage. This guide provides step-by-step instructions for pairing the device, selecting AI models, and configuring settings for efficient operation. Perfect for anyone looking to implement AI-driven applications on the A1102.

Existing Wiki Updated​

Hardware and Interfaces Usage for J501 carrier board​

We have added more details about the Usage Instruction with USB to CAN Adapter.

The Efforts of Contributor​

Past Weekly wiki​

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