Use my ESP-VISION camera to detect a hand, draw a box around it, and show the result in real time.Use my ESP-VISION camera to detect a hand, draw a box around it, and show the result in real time.
·Understand the request
·Generate the application
·Run on the device
·Read device feedback
·Refine and run again
02CAPABILITIES
Your ideas. Backed by real capabilities.
AI DIY01
AI-Native Development
Describe your goal. Your AI assistant handles firmware, models, and application development, then verifies the result on real hardware.
AI02
On-Device ESP-DL Inference
Object detection, pose estimation, and image classification; load a quantized .espdl model in one line — real-time, offline, on device — or bring your own PyTorch / TensorFlow model.
VLM03
Cloud Vision LLMs
Stream straight to OpenAI-compatible vision APIs and tap multimodal models like GPT-4o — complex scene understanding with no local compute.
IMG04
Image Processing
Drawing, filtering, color tracking, feature detection, QR codes, barcodes, and AprilTags.
CDC05
Hardware Codec
H.264 / MJPEG / RTSP and USB CDC live preview, saturating the on-chip multimedia accelerators.
IO06
Rich Peripheral Support
Cameras, displays, SPI, I2C, UART, SD cards and more work out of the box, with a MicroPython machine-compatible API.
03GET STARTED
Connect your board. Keep it simple.
PROMPTA request for your AI
Set up ESP-VISION for Codex using the instructions at https://www.npmjs.com/package/@esp-vision/plugin and verify the connection.
TERMINALRun in your terminal
npx -y @esp-vision/plugin install codex
Browser flashing○ No device connected
Chip
Board
Firmware
Flash ModeUpdates only the application, preserving bootloader, partition table, Wi-Fi settings and user files. A mismatching partition layout stops the update.
Checking flashing support for the selected firmware…
Device Wi-Fi setup
Optional · Develop and debug over your local network.