The live camera stream can be accessed through a web app by entering the camera's IP address into any browser.
Since this camera is compact and powered by a battery pack, it can be placed anywhere in the home. I keep it near my workbench to see myself in the feed, but it’s versatile enough for surveillance, pet monitoring, or even as a baby cam. The possibilities are endless.
ESP32-S3 AI CAM

Let's have a look at the brain of this project, which is the new ESP32-S3 AI CAM made by DF ROBOT.
https://www.dfrobot.com/product-2899.html
The ESP32-S3 AI CAM is a powerful camera module built around the ESP32-S3 microcontroller and optimized for advanced video processing and voice interaction. It is designed for AI-powered applications and excels at tasks like video surveillance, edge-based image recognition, and conversational speech interfaces.
The ESP32-S3's strong neural network computing and signal processing capabilities enable the module's advanced image recognition and intelligent voice interaction features.
The ESP32-S3 AI CAM is powered by the Xtensa® Dual-core 32-bit LX7 microprocessor, which runs at 240 MHz and includes 512KB of SRAM and 16MB of Flash for efficient processing.
It has a high-performance OV3660 camera sensor with 2-megapixel resolution, a 160° field of view, and infrared sensitivity for better image identification. The module supports IEEE 802.11b/g/n Wi-Fi and Bluetooth 5 with Mesh capabilities, ensuring seamless connectivity.
With a wide operational voltage range (3.3V-12V) and Type-C input, as well as an operating temperature range of -10°C to 60°C, it is ideal for AI applications in a variety of conditions.
You can learn more about this Dev Board from its Wiki page-
https://wiki.dfrobot.com/SKU_DFR1154_ESP32_S3_AI_CAM#target_0
POWER CIRCUIT

We then designed the power board's schematic, which revolved around the IP5306 Power Management IC, which delivers a consistent 5V/2A of power from a 3.7V lithium battery.
After constructing the basic layout per the datasheet, we utilized a Cad file to add components such as the Type-C port, right-angle switch, and LEDs after converting the schematic to a board file.
After finalizing both boards, we exported their gerber data and shared it with HQ NextPCB for samples.
HQ NextPCB Service
After completing the PCB design, we export the Gerber data and send it to HQ NextPCB for samples.
Gerber Data was sent to HQ NextPCB, and a Green Solder Mask PCB with White Screen was ordered.
After placing the order, the PCBs were received within a week, and the PCB quality was pretty great.
In addition, I have to bring in HQDFM to you, which helped me a lot through many projects. Huaqiu’s in-house engineers developed the free Design for Manufacturing software, HQDFM, revolutionizing how PCB designers visualize and verify their designs.
HQDFM: Free Online Gerber Viewer and DFM Analysis Tool
Also, NextPCB has its own Gerber Viewer and DFM analysis software.
Your designs are improved by their HQDFM software (DFM) services. Since I find it annoying to have to wait around for DFM reports from manufacturers, HQDFM Is the most efficient method for performing a pre-event self-check.
Here is what the online Gerber Viewer shows me could not be clearer.
However, for full function, like DFM analysis for PCBA, you need to download the software. The online version only provides a simple PCB DFM report.
With comprehensive Design for Manufacture (DFM) analysis features, HQDFM Is a free, sophisticated online PCB Gerber file viewer.
It provides insights into advanced manufacturing by utilizing over 15 years of industry expertise. You guys can check out HQ NextPCB if you want great PCB service at an affordable rate.