• Maddineni Nikhil Babu
• Dr. D. Lalitha Bhaskari

During the recent years there has been a great progress in Imaging technology. Image and video capturing devices are becoming cheaper and on the other hand computing power significantly increased with much more efficiency. The arena of Parallel Computing moved through different phases like multi-core processing, Graphical processing unit (GPU), Tensor processing units (TPU) and so on. Several proficient algorithms made the object detection process fine tuned. Also at the same time the processing power involves much cost. As a result, object detection has a high computational cost. We presented an object detection technique that may be executed on a standard CPU in this study. Due to this the computational cost drastically decreases. And at the same time we maintained an effective rate of FPS besides the time consumption to be low. Although we implemented the process computable at CPU level we did not let the accuracy to get deviated.

Realtime object detection, Yolo, CPU based object detection

"An Efficient Object Detection technique in Realtime and Noisy Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.b10-b19, November-2021, Available :http://www.jetir.org/papers/JETIR2111103.pdf

"An Efficient Object Detection technique in Realtime and Noisy Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppb10-b19, November-2021, Available at : http://www.jetir.org/papers/JETIR2111103.pdf