One of the primary challenges is the strain on bandwidth. High-resolution cameras, especially those operating at 1080p or higher, transmit massive amounts of data. When multiple cameras stream simultaneously over a Wi-Fi network, it can saturate the available bandwidth, leading to reduced video quality, latency, or even dropped connections.
Many surveillance systems now incorporate cloud storage solutions. While cloud-based services offer many advantages, they also come with their own set of challenges. These include potential data loss during poor internet connectivity, bandwidth limitations set by internet providers, false alarms, high costs per camera, and limited video data retention periods.
Motion Detection, another mobile app, exemplifies this approach. It allows for object detection and video surveillance with automatic video saving capabilities. When motion is detected, the app saves the video either to the phone or a cloud server, depending on the users preference. Users can adjust sensitivity settings, opting for either basic detection or more advanced neural network-based detection. This advanced option can recognize specific objects like people, animals, and vehicles. Every time an object is detected, the app logs the event, and users have the option to upload both the event information and video file to a cloud server.
Definition of CCTV Systems:
Closed-circuit television (CCTV) systems refer to a network of cameras and recording equipment used for surveillance purposes. Unlike broadcast television, the signal in a CCTV system is not openly transmitted but is instead monitored, typically for security and surveillance purposes. These systems are prevalent in various settings, capturing and recording footage that can be reviewed or monitored in real-time to enhance security, deter crime, and assist in investigations.