VIDEO PORTERO USANDO TARJETAS RASPBERRY PI 3 (VIDEO INTERCOM USING RASPBERRY PI 3 CARDS)

Se presenta el desarrollo de un video portero para edificios de oficinas integrado por un módulo maestro y tres módulos esclavos. El módulo maestro, instalado en la puerta del edificio, está compuesto por: una tarjeta Raspberry Pi, una cámara de video, una pantalla táctil, un micrófono USB y una bocina. Los módulos esclavos, instalados en las oficinas del edificio, están compuestos por: una tarjeta Raspberry Pi, una pantalla táctil, un micrófono USB y una bocina. Las funciones del video portero son: anunciar al visitante con un tono de timbre y comunicarlo con el residente a través de transmisión de audio y video en tiempo real, abrir la puerta y permitir al visitante registrar un mensaje. Se logró un alcance de 45 metros con línea de vista en la comunicación WiFi entre los módulos y el punto de acceso y un retraso máximo de la señal de video de 50 ms.The development of a video intercom for office buildings is presented, composed of a master module and three slave modules. The master module, installed in the door of the building, is composed of: a Raspberry Pi card, a video camera, a touch screen, a USB microphone and a speaker. The slave modules, installed in the offices of the building, are composed of: a Raspberry Pi card, a touch screen, a USB microphone and a speaker. The functions of the video intercom are: announce the visitor with a ring tone and communicate it with the resident through audio and video transmission in real time, open the door and allow the visitor to register a message. A range of 45 meters was achieved with line of sight in the WiFi communication between the modules and the access point and a maximum delay of the 50 ms video signal

An integrated framework for video surveillance in complex environments

In this paper we present a video surveillance platform for the automatic analysis of complex environments, namely urban outdoor scenarios and crowded areas, including airports and train or metro stations. Considering the difficulty in performing continuous tracking and activity monitoring for every single subject in the scene, and due to the multiple occlusions and the complexity of the visual scene, the set of tools implemented in the system are designed to assess the situation in the monitored area according to a scalable architecture. The modules include: abandoned object detection, sterile zone and door surveillance, crowd anomaly detection, violent interactions detection, and re-identification. The modules have been developed and tested on several benchmark datasets before the deployment, to verify the compliance with the application requirements