This document provides a comprehensive guide to battery fundamentals, technical specifications, and discharge capabilities, helping users select the optimal battery solution for NeoEyes NE101 and NE301 smart cameras, including discharge requirements and environmental considerations across different communication modes (WiFi, Cat-1, WiFi HaLow).
Learn how to monitor urban waste bin overflow using NeoEyes NE301 and Home Assistant. Transform city sanitation from scheduled cleaning to demand-driven efficiency.
Setup guide for NE301 development environment. Learn how to configure Docker (recommended) or manually install ARM GCC, STM32 tools, and AI toolchains.
This document details the model training and deployment workflow for the NE301 series AI smart camera. It covers setting up a YOLO training environment, model training, exporting to TFLite format, model quantization and evaluation, and finally deploying the quantized model to the NE301 device using either Makefile build or Web UI upload methods, helping developers achieve efficient edge AI model deployment.
Learn how to configure MQTT/MQTTS on NeoEyes NE301 for real-time data reporting. Includes JSON protocol analysis, MQTTX client setup, and troubleshooting.
Comprehensive NE301 power consumption documentation with detailed analysis of WiFi and Cat-1 communication modes, battery life calculation tools, and typical application scenarios to help users understand device power performance and battery longevity.
NE301 Model Converter is a zero-code end-to-end model conversion platform that automatically converts PyTorch/YOLO models to NE301 edge device compatible .bin format through Docker one-click deployment, with real-time progress feedback and intelligent OOM recovery.
Resolve issues with NE301 WiFi AP visibility. Learn how to flash siwg917 WiFi firmware using an SD card and serial console for the STM32N6 development board.
This guide describes how to connect a PIR (Passive Infrared) motion sensor to the NE301 and set up an on-demand capture pipeline using MQTT data forwarding and the NeoMind platform.
This tutorial covers the quick start guide for the NeoEyes NE301 PoE version, including PoE module hardware introduction and connection, Web UI login configuration, PoE network status checking, and IP settings. Suitable for outdoor waterproof, continuous capture, and RTMP video streaming scenarios.
Comprehensive guide to refrigerator inventory monitoring using NeoEyes NE301 and Home Assistant. Learn data collection, model training, and MQTT integration for smart retail.
This guide explains how to stream live video from the NeoEyes NE301 AI camera to a backend server using the RTMP protocol. It covers setting up an Nginx-RTMP receiving server, configuring the stream URL on the NE301 web interface, enabling video recording, and viewing the live stream via VLC.
This guide introduces the NE301 sensor extension board, covering quick verification and multi-spec display (OLED/TFT) output for 9 sensor types: temperature/humidity, ambient light, 6-axis IMU, ToF ranging, laser ranging, IR thermal imaging, PIR human detection, mmWave radar, and MEMS microphone.
A complete solution for NE101/NE301 smart cameras with solar panels for 24/7 continuous capture, covering BOM, hardware connection, power consumption analysis (including high-frequency capture), and device configuration, suitable for long-term deployment in outdoor scenarios without grid power.
Step-by-step guide for NE301 system flashing. Learn to flash apps, web interfaces, and AI models to STM32N6 and STM32U0 using ST-Link and CLI tools.
Learn how to use CamThink's AI Tool Stack with NeoEyes NE301 for end-to-end model development. Covers data collection, annotation, training, and quantization.
Learn how to monitor warehouse shelf status using NeoEyes NE301 and Home Assistant. Covers AI model training for chipset detection and MQTT data visualization.
Guide for building and flashing NE301 from source using Windows + WSL2 and Docker. Covers usbipd-win setup for ST-LINK passthrough and troubleshooting.