Video and audio stream can be retrieved by RTSP/RTP or interleaved RTSP. RTCP is not used.
Ip camera can provide different services on one port(Default 8001, servers both CTP/RTSP/HTTP), but the standard ports are also used.
Authentication is required by camera, RTSP client should response to 401 and provides an account.
Here are the urls(VCL) to access:
Teaching you to analyse the network camera in electricity without picture , we think there may be the following reasons.
First, the network camera power supply shortage
Switching power supply is insufficient which causes switching power overheating.It appears thereby thermal protection .The inspection method is to make sure scene mode power whether have temperature or not. If the the power is cold. The solution is to replace the power supply.
Second, the network camera power voltage is not enough
If the Camera appears the phenomenon of image flicker, we can confirm that power voltage is not enough, the camera instruction inform the power is 12V/2A and using the 12V/1A appear will appear the phenomenon of image flicker for the shortage of electricity.We need to replace the power supply.
Third, network camera’s own fault
If only one camera appear this fault, it may appear in the camera internal program crashes. the power to restart after the restoration mostly is caused by bad reset circuit.
In short: if network camera have no image or image flickering phenomenon, it means the one part have problem. We should not panic and calm down. To exclude some problems and find the final solution according to the above method .
In order to help more customers to master the way to setup IP camera, we make the TENVIS wirelessIP camera setup tutorial video for windows os
This tutorial applies to IPROBOT 2, JPT3815W, JPT3815W+, MINI319W, IP602W, and IP391W.
In this video, we demonstrate from camera assembling to getting live video on the Internet and on smart phones. You can see the video on our YouTube offical channel where we will upload more video about setup tutorial and our product demos.
Usually the resolution of HD network cameras is different which decides the different specifications and classification. For example, often saying million pixel high-definition network cameras, namely 1280×720 HD resolution, 1300000 pixels, 2000000 pixels ( 1280×960 ) (1920×1080 Full HD ), 3200000 pixels ( 2048×1536 ), and even higher 5000000 or even 8000000, 10000000 pixel camera.
In addition, according to the different environment needs in practical applications, we have different requirements in product characteristics.In addition to a number of megapixels plumages, and according to the main characteristics of the classification on the other, such as wide dynamic camera which is suitable for shading difference large scenes, low illumination camera which is applicable to low light environment and intelligent video analysis camera which is suitable to the special risk early warning initiative monitoring
occasions of etc..
HD network camera must own all various key techniques of a camera, such as sensor ( sensor ) etc.. Sensor as the front end of the optical signals are converted to electric signals link is the most direct impact on the camera image quality of key technology. There is
no exception in the HD network camera. The application of sensor of HD video camera has specific requirements which need to be able to meet the high definition image uptake required a large amount of data processing capability as well as meet high-definition large-format images required for large target surface. These give high-definition cameras sensor technology the cost pressures and technical challenges.
Video compression algorithm
Another key technology of HD network camera is video compression algorithm. Video image through digital compression and after the network transmission is the most basic function of network camera. It proves that video compression algorithm is better or poor directly determines the quality of the video image. From the perspective of two, a good video compression algorithm can minimize the image distortion. As everyone knows that video compression which applied in the network transmission is lossy compression, picture information will be lost. we need to maximize the meet the compression ratio in the case of most retained picture information. Another aspect good video compression algorithm can provide better image effects. Using a lower bit rates means that occuping less bandwidth and less storage space.