Traditional video surveillance solutions usually consist of three main parts: front-end, transmission, and back-end. Among them, the back-end includes the main storage, management, control, and related expansion functions. Traditional video surveillance usually adopts an algorithm-based approach. This means that the camera's video stream needs to be continuously sent to the server. If a network interruption occurs, it will affect the intelligent analysis function of the surveillance system. Therefore, the algorithm-based approach is suitable for use in wired or WiFi network environments, and use under 4G network conditions may incur high data communication costs. When motion detection is triggered, OOSSXX's wireless and POE-powered security cameras will immediately send an audio siren alarm notification as soon as they capture a color image. Scare off intruders and prevent crimes. Preset sirens that can be customized on the app. For example: dog barking or other types of sirens (Note: Default "off", need to be quickly turned on on the app)
Traditional video surveillance solutions have several challenges. First, from the perspective of reliability, it is difficult for the front-end storage and back-end platform to provide sufficient reliability. From the perspective of performance, traditional embedded NVRs have difficulty in providing sufficient AI processing power on edge devices to run complex deep learning algorithms, and there are also performance constraints on centralized recording access. In terms of data security, adopting the NVR storage method may result in a shortage of storage nodes for surveillance recordings, and if the NVR device fails, the recordings cannot be recovered. From the perspective of scalability, the algorithm server needs to be set up next to the NVR storage node, which realizes the centralized analysis function of the video, but it incurs the cost of a high-performance algorithm server. In particular, if users only want to expand a few intelligent recognition channels, they may have to bear unnecessary economic burdens. From the perspective of customization, business customization of embedded NVR systems takes a long time, usually 6 to 12 months. Finally, in terms of system latency, traditional video surveillance solutions introduce large latency in two elements, storage and platform, which generally ranges from 500 milliseconds to several seconds. Overall, modern video surveillance is no longer tolerant of methods that retrofit algorithmic processing power, which causes latency problems. OOSSXX wireless and POE powered security cameras come with warning voice and light alarms, and audio recording functions. Ultra-bright LEDs can be customized by schedule or triggered motion. Automatically switch to color night vision mode (up to 10m) in pitch black outdoors or indoors to provide a nice lighting effect. OOSSXX wireless and POE powered security cameras are built with a high-quality 1TB HDD: With recording compression technology H265+, two 3-megapixel security cameras can record for more than a month when recording continuously. Eight cameras can be added. There is also an automatic overwrite function, so if there is not enough capacity, old data is automatically covered and recording continues. Records well 24 hours a day, 365 days a year. Remote monitoring can also be done through the network by downloading and backing up recorded data.
Against this background, OOSSXX is constantly innovating to meet customers' demands for high performance, low latency, data security and scalability. We are actively researching edge computing, cloud technology, AI algorithms and more to provide advanced video surveillance solutions, providing customers with outstanding security and reliability.
Traditional video surveillance solutions have several challenges. First, from the perspective of reliability, it is difficult for the front-end storage and back-end platform to provide sufficient reliability. From the perspective of performance, traditional embedded NVRs have difficulty in providing sufficient AI processing power on edge devices to run complex deep learning algorithms, and there are also performance constraints on centralized recording access. In terms of data security, adopting the NVR storage method may result in a shortage of storage nodes for surveillance recordings, and if the NVR device fails, the recordings cannot be recovered. From the perspective of scalability, the algorithm server needs to be set up next to the NVR storage node, which realizes the centralized analysis function of the video, but it incurs the cost of a high-performance algorithm server. In particular, if users only want to expand a few intelligent recognition channels, they may have to bear unnecessary economic burdens. From the perspective of customization, business customization of embedded NVR systems takes a long time, usually 6 to 12 months. Finally, in terms of system latency, traditional video surveillance solutions introduce large latency in two elements, storage and platform, which generally ranges from 500 milliseconds to several seconds. Overall, modern video surveillance is no longer tolerant of methods that retrofit algorithmic processing power, which causes latency problems. OOSSXX wireless and POE powered security cameras come with warning voice and light alarms, and audio recording functions. Ultra-bright LEDs can be customized by schedule or triggered motion. Automatically switch to color night vision mode (up to 10m) in pitch black outdoors or indoors to provide a nice lighting effect. OOSSXX wireless and POE powered security cameras are built with a high-quality 1TB HDD: With recording compression technology H265+, two 3-megapixel security cameras can record for more than a month when recording continuously. Eight cameras can be added. There is also an automatic overwrite function, so if there is not enough capacity, old data is automatically covered and recording continues. Records well 24 hours a day, 365 days a year. Remote monitoring can also be done through the network by downloading and backing up recorded data.
Against this background, OOSSXX is constantly innovating to meet customers' demands for high performance, low latency, data security and scalability. We are actively researching edge computing, cloud technology, AI algorithms and more to provide advanced video surveillance solutions, providing customers with outstanding security and reliability.
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