Full material
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| Pages | 61 |
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Project Details
| Department | Electrical Engineering |
| Type | Project |
| Pages | 61 |
| Reference Style | YES |
| Format | MS Word & PDF |
| Reference No. | ELE0325 |
Abstract
Abstract Cowpea traders find the manual sorting process of cowpeas laborious and time-consuming. Based on the volume of cowpeas and the proportion of damaged cowpeas, the process can span a time interval of about 6 hours. This project integrates the power of computer vision and convolutional neural networks to develop a solution for the cowpea trader to effectively segregate good cowpeas from the damaged ones.
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Full material
₦ 5,000 $(29)
| Pages | 61 |
| Delivery | Instant, after payment |