Calculating Disk Space for Continuous Recording
To give an idea of how much space can be saved, let's assume a camera records at 2 megabytes per second (MB/s). Over 24 hours, this translates to:
2 MB/s x 60 seconds x 60 minutes x 24 hours = 172,800 MB or approximately 173 GB/day.
In a week, this would amass to 1.2 TB of data, and in a month, around 5 TB. With motion detection, these numbers can be drastically reduced, depending on the frequency of motion.
Challenges Faced by Users
1. False Alarms: A leading concern among users is the occurrence of false alarms, triggered by varying light conditions, moving shadows, or even flying insects.
2. Server Load: Another challenge is the high load on servers. Continuous recording, especially from multiple sources, can strain server resources.
3. Cost Implications: The high cost of cloud video analytics has been another stumbling block. Cloud services typically come with monthly fees which can accumulate and be burdensome over time.
Addressing the Concerns with Web Camera Pro
Web Camera Pro offers solutions to many of the challenges users face:
1. Minimizing False Alarms: Users can adjust the sensitivity settings, set specific zones for motion detection, and even use advanced algorithms to differentiate between genuine threats and benign movements.
2. Local Processing: To combat the strain on servers, Web Camera Pro can shift video analytics to the user's local computer or directly to the camera, thereby easing server load and improving response times.
3. Cost-effective: Web Camera Pro offers free surveillance capabilities. While it does have a premium version that integrates with the VideoSurveillance.Cloud service, the free version is robust, allowing IP camera recording, local video archiving, object detection, facial recognition, and time-lapse recordings.