> For the complete documentation index, see [llms.txt](https://vecihi.gitbook.io/vecihi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vecihi.gitbook.io/vecihi/master.md).

# Project Vecihi

Vecihi is an open source project which suggest a cognitive approach for autonomous drones in environmental monitoring.

## Goal

Environmental monitoring has a key role to reduce human damage on nature and wildlife.Due to intense tracking and observation tasks, it’s an expensive solution. Autonomous observation is an open discussion to raise efficiency of environmental monitoring and reduce the cost of operation. Drones are a possible candidate for environmental monitoring with their proven success on monitoring and tracking.

Vecihi is cognition layer to manage decision making of monitoring. Vecihi contains a basic trapoizodal cell decomposition for path planning on given map. Furthermore, it has a investigation algorithm to manage motions to create a better conditions for identifying detected targets. While managing monitoring tasks Vecihi protects drone and surroundings from potential safety issues. It suggests a set of emergency policies.

Vecihi is providing a stable environment for environmental monitoring simulation. 

![Simulation for bottle detection in TUM Main Campus ](https://3396257085-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LMlCY4qwSfU-4YHwSLY%2F-LMlCrOWPYfPZ4u1lj10%2F-LMlHlicTI6DMv4QLpR1%2FTUM_rendered.png?alt=media\&token=7c83ce60-e576-4744-8f78-1966ec7a8a59)