ViTech

Computer Vision Gateway for real-time stream processing

Gstreamer, OpenCV, TensorRT, H.265

Tested on Jetson Nano

Stream processing and AI deployment with low power consumption and low memory footprint
Hardware encoding and decoding for any combination of user defined input and output image/video streams
Versatile tool for performing both low-level and high-level vision tasks
Jetson implementation utilizing heterogeneous computing environment, suitable for outdoor application scenarios
Support for model translators and compilers enabling creation of optimized AI inference engines
Test examples: semantic segmentation, image classification, real-time monocular depth estimation on drone platform

Functional blocks:

Examples

Semantic segmentation:

--->>> testVideoOut1_pedestrian

--->>> testVideoOut2_traffic

Monocular depth estimation:

--->>> testVideoOut3_unprocessed

--->>> testVideoOut3_depth

UAV integration:

If you would like to use this software, please consider citing the following publication:

Brkljač, B., Brkljač, M., Antić, B. (2024). Computer vision gateway for real-time on-site analytics in smart cities and peri-urban agriculture. In Proceedings: 1st International Scientific and Professional Conference - ALFATECH 2024 – Smart cities and modern technologies, Belgrade, Serbia, March 15, 2024, Vol. 1,


    @inproceedings{Brkljac_Computer_vision_gateway_2024,
    author = {Brklja{\v{c}}, Branko and Brklja{\v{c}}, Milan and Anti{\'c}, Boris},
    booktitle = {1st International Scientific and Professional Conference - ALFATECH 2024 – Smart cities and modern technologies, Belgrade, Serbia, March 15, 2024, Proceedings},
    doi = {-},
    month = mar,
    pages = {1--12},
    title = {{Computer vision gateway for real-time on-site analytics in smart cities and peri-urban agriculture}},
    year = {2024}
    }

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