# lowpower_camera

**Repository Path**: top-software/lowpower_camera

## Basic Information

- **Project Name**: lowpower_camera
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-06
- **Last Updated**: 2025-07-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LowPower Camera

## Project Overview

This project is a low-power image acquisition solution based on the CamThink Event Camera NeoEyes NE101. The main features include:

- Support for multiple trigger conditions to wake up autonomously
- Low-power image acquisition
- Transmission of image data to the cloud via MQTT protocol

## Hardware Preparation

### Required Equipment

- Standard development board (integrated with camera sensor)

### Optional Communication Modules

1. CAT1 Cellular Communication Module
2. Halow WIFI Module

> For detailed hardware specifications, please refer to the [hardware introduction document](link).

## Software Environment Setup

### 1. Obtain the ESP-IDF Development Framework

This project is developed based on ESP-IDF v5.1.6. Please follow the steps below to configure:

```bash
git clone -b v5.1.6 --recursive https://github.com/espressif/esp-idf.git
cd esp-idf
./install.sh
```

Configure environment variables:

```bash
. ./export.sh
```

> For detailed installation instructions, please refer to the [ESP-IDF official documentation](https://idf.espressif.com/).

### 2. Obtain the Project Source Code

```bash
git clone https://github.com/camthink-ai/lowpower_camera
cd lowpower_camera
```

## Project Compilation and Execution

### Step 1: Hardware Connection

Please refer to the [hardware connection guide](link) to complete the device wiring.

### Step 2: Set Target Chip

```bash
idf.py set-target esp32s3
```

### Step 3: Configure Project Parameters (Optional)

```bash
idf.py menuconfig
```

### Step 4: Compile and Flash

```bash
idf.py build
idf.py -p /dev/ttyUSB0 flash
```

### Step 5: Run Monitor

```bash
idf.py monitor
```

## Technical Support and Feedback

If you encounter any issues during usage, please submit relevant [issues](https://github.com/camthink-ai/lowpower_camera/issues), and we will respond as soon as possible.