This has shown a need for additional and improved levels of security for homes, properties, and individuals. According to the report in, attacks on homes and properties have aggravated into sexual offenses and assaults. Despite the lockdown and stay-at-home order, several homes were still attacked and burgled in South Africa. Home-based crime attacks, theft, and burglary are on the increase annually. The CNN classification model gave an accuracy of 99.8%. An experimental analysis of human motion patterns was performed using the CNN model to evaluate the classification for the detection of humans. The environmental conditions measured were evaluated using a mathematical model for the response time to effectively show the accuracy of the DHT sensor for weather monitoring and future prediction. The proposed method’s prototype was implemented using an ESP32 camera for surveillance, a PIR motion sensor, an ESP8266 development board, a 5 V four-channel relay module, and a DHT11 temperature and humidity sensor. A human detected by the surveillance camera is classified as an intruder or home occupant based on his walking pattern. Using a deep learning model, an algorithm is developed to enhance the smart home automation system for intruder detection and forestall the occurrence of false alarms. A deep learning model is proposed for motion recognition and classification based on the detected movement patterns. This work presents an intelligent home automation system for controlling home appliances, monitoring environmental factors, and detecting movement in the home and its surroundings. Intelligent response and monitoring make smart home automation efficient. However, the logical aspect of averting unnecessary or fake notifications is still a major area of challenge. Existing home automation systems detect motion and have surveillance for home security. Several home automation systems have been developed to monitor movements in the home and report to the user.

With the advances in technology and the Internet of Things (IoT), the home environment has witnessed an improved remote control of appliances, monitoring, and home security over the internet. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security.

Security of lives and properties is highly important for enhanced quality living.

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