%0 Journal Article %1 noauthororeditor %A NandhaKumar.B, %A B.Prasanalakshmi, %D 2017 %J International Journal of Computer Science and Engineering Communications %K , Image Matching Object Pattern capture, detection, recognition, %N 6 %P 1774-1783 %R https://doi.org/10.5281/zenodo.1155836 %T Development and Analysis of an Automated Bird Crash Avoidance System %U http://www.ijcsec.com/2017/5617741783.html %V 5 %X Bird Conservation is mandatory in wild life preservation. Aviation hazards by birds are to be reduced. Bird preservation by deterrence to avoid aircraft hazards is proposed. This system has three phases- Bird detection, Bird identification, Bird deterrence, a camera on the aviation environment detects the presence of bird. Bird is classified and identified for enabling its deterrence. The image from the camera is processed to check if it is a bird. Once if it is confirmed to be bird it is identified for its species. The relevant acoustic which is deterrent to the bird is identified; the acoustic deterrent system raises the noise irritable to the bird.

@article{noauthororeditor, abstract = {Bird Conservation is mandatory in wild life preservation. Aviation hazards by birds are to be reduced. Bird preservation by deterrence to avoid aircraft hazards is proposed. This system has three phases- Bird detection, Bird identification, Bird deterrence, a camera on the aviation environment detects the presence of bird. Bird is classified and identified for enabling its deterrence. The image from the camera is processed to check if it is a bird. Once if it is confirmed to be bird it is identified for its species. The relevant acoustic which is deterrent to the bird is identified; the acoustic deterrent system raises the noise irritable to the bird. }, added-at = {2018-01-19T21:17:54.000+0100}, author = {NandhaKumar.B and B.Prasanalakshmi}, biburl = {https://www.bibsonomy.org/bibtex/2d82e0c719d6d0108fd7337cebde5d75f/scralibrary}, doi = {https://doi.org/10.5281/zenodo.1155836}, interhash = {bf2b611aa41b937ce431303ff29c8e3d}, intrahash = {d82e0c719d6d0108fd7337cebde5d75f}, issn = {2347-8586}, journal = { International Journal of Computer Science and Engineering Communications}, keywords = {, Image Matching Object Pattern capture, detection, recognition,}, language = {English}, month = {December}, number = 6, pages = {1774-1783}, timestamp = {2018-01-19T21:23:32.000+0100}, title = {Development and Analysis of an Automated Bird Crash Avoidance System}, url = {http://www.ijcsec.com/2017/5617741783.html}, volume = 5, year = 2017 }