Smart home cameras play an important role in modern home security and monitoring. This article describes how to develop a high-performance, low-power smart home camera based on ADI's MAX78000 neural network microcontroller, which enables advanced image processing and object recognition.

Product Overview

This smart home camera utilises the powerful computing power and neural network processing capabilities of the MAX78000 to provide real-time video surveillance, object recognition and smart alert functions. Its key features include:

Face Recognition: automatically identifies family members and visitors and provides access records.

Anomaly Detection: detects suspicious activities and sends instant alerts.

Edge Computing: Processes data on local devices, reducing reliance on cloud services and improving response time and data privacy.

Hardware Architecture.

Master Control Unit: adopts MAX78000 neural network microcontroller, responsible for image processing and neural network inference.

Camera module: a high resolution camera to provide clear video streaming.

Storage module: Built-in storage for local video saving, supports extended SD card.

Communication module: Wi-Fi and Bluetooth modules for remote data transmission and device connection.

Power management: High-efficiency power management system to ensure low-power operation.

Software Architecture

Operating system: based on real-time operating system (RTOS) to ensure stable and real-time task processing.

Image Processing Algorithm: utilises the hardware acceleration capability of MAX78000 for image pre-processing, object detection and face recognition.

Edge Computing Framework: runs machine learning algorithms on local devices, reducing reliance on cloud computing.

Communication protocols: support protocols such as MQTT, HTTP, etc. to achieve communication with smart home systems and mobile applications.

Functional Implementation

1.Face Recognition

Data Capture: camera captures video stream in real time.

Preprocessing: Preprocess the image using MAX78000, such as noise reduction and image enhancement.

Feature Extraction and Matching: Face feature extraction and matching using built-in neural network model to recognise family members and visitors.

Recording and Notification: Record the recognition results in local storage and notify users via mobile apps.

2.Anomaly detection

Motion Detection: triggers anomaly detection when the camera captures motion.

Object Recognition: Use MAX78000 to classify moving objects, such as people, animals or other objects.

Alarm system: sends alerts via mobile apps when abnormal objects are detected and can trigger a local alarm system.

3.Edge Computing

Local Processing: runs neural network models on the camera device for real-time image analysis and object recognition.

Privacy protection: Reduces reliance on cloud services and protects user privacy as data is processed locally.

Mobile application

Develop a supporting mobile application to realise the following functions:

Real-time video view: users can view the video captured by the camera in real time through the mobile application.

Alarm Management: Receive and manage abnormal alarms sent by the camera.

History: view access logs and alarm history.

Remote Control: Remotely control the functions of the camera through the app, such as starting/stopping monitoring, adjusting camera angle, etc.

The smart home camera based on ADI's MAX78000 neural network microcontroller provides a smarter and safer home surveillance solution by enabling advanced image processing and object recognition functions with its powerful computing capabilities and low-power features. This camera not only improves home security, but also enhances user experience, bringing new possibilities to the smart home market.

UCC INDU, as a high-tech electronic distributor, actively provides chip products from ADI. With a professional technical and service team, the company provides customers with one-stop services from selection, procurement to technical support. In addition, UCC INDU is providing customers with more products from ADI, welcome to visit UCC INDU official website or contact our sales team directly to explore and purchase the products you need.


Disclaimer: The information provided on this page is for informational purposes only. We do not warrant the accuracy or completeness of the information and accept no liability for any loss or damage arising from the use of such information.

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