Esp-Who

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esp-who is an image processing development platform based on Espressif chips that provides examples for human face detection, recognition, and pedestrian detection. It allows developers to build practical applications with various peripherals.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is esp-who?

ESP-WHO is an image processing development platform built upon Espressif chips, offering a robust framework for AI-powered vision applications. It includes development examples for key functionalities such as human face detection, human face recognition, and pedestrian detection, enabling developers to create a wide range of practical applications. The platform is based on ESP-DL and supports various peripherals, allowing for interesting integrations. Recent updates include full refactoring, support for the new ESP-DL and ESP32-P4 chip, asynchronous camera and deep learning model operation for higher FPS, and integration with lvgl for graphical applications. It also features a new pedestrian detection model, making it a comprehensive solution for embedded vision projects.

Best used for

Ideal for developers who need to build embedded vision applications, implement real-time face detection and recognition, and integrate deep learning models on Espressif chips. Especially valuable for creating smart camera systems, security solutions, and other IoT devices requiring advanced image processing.

Common actions

develop vision applications

implement face detection

integrate deep learning

build embedded systems

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Capabilities

Key features

Human face detection
Human face recognition
Pedestrian detection
QR code recognition
Asynchronous camera operation
LVGL graphics support
ESP32-P4 support

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What Espressif chips are supported by ESP-WHO?

ESP-WHO supports various Espressif chips, including ESP32-P4 and ESP32-S3. The platform is continuously updated to include support for newer chips and optimize performance across the range of Espressif hardware. Specific examples and features may vary by chip.

What kind of examples does ESP-WHO provide?

ESP-WHO provides development examples for core functionalities such as human face detection, human face recognition, pedestrian detection, and QR code recognition. These examples serve as a foundation for developers to build their own practical applications and integrate various peripherals.

How does ESP-WHO improve performance for vision applications?

ESP-WHO enhances performance by adapting to the new ESP-DL framework and supporting asynchronous operation of the camera and deep learning models. This allows for higher frames per second (FPS) in vision applications, leading to more responsive and efficient systems.

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