In an urban communities Land surfaces-like road side, road corners, Canals and waterways running through are often illegally used for dumping waste. This degrades water channels as well as causing sewer blockages due to metropolitan flooding and creates bad smell and ugly look of the streets. The moment this polluted water reaches the horticulture fields, it causes soil contamination and poses basic ecological as well as monetary dangers. Dumped garbage often appears floating on the surface of the water. The junk could be warped, half-launched, broken down into more modest pieces, collected together with various items that darkened its shape and made it difficult to identify. This paper proposes a strategy for identifying apparent wastage on Land surfaces-like road side, road corners, and waterways in metropolitan regions. So additionally put huge images, waste channels that will contain the level of comments. Smart layers of reasoning are proposed that operate on this identification for more modest articles. Towards completion, we give a coarser correlation to the best-in-class object locator technique and show that our strategy works in principle for recognizing more modest objects.