Optimal Methods for Multiple Cameras with Varying Res./FPS?

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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**• Hardware Platform: A30 | NVd: 510.85 | CUDA: 11.6 **
• Issue Type: Question

Hello, my team has several (10+) CCTV cameras connected to via RTSP that we are trying to decode as fast as possible to then perform inference with some AI models. These cameras have varying framerates (4 - 12 FPS for example) and varying resolutions (640x480 - 1280x720 for example)- I’m just wondering if DeepStream offers any tools/examples on what the best way is to handle several cameras in this situation?

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There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

DeepStream do support multiple input sources. You may try with deepstream-app sample app. DeepStream Reference Application - deepstream-app — DeepStream 6.3 Release documentation

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