Automated classification and typing of Nelore cattle carcasses by artificial intelligence
Automated classification and typing of Nelore cattle carcasses by artificial intelligence
The use of technology based on computer vision and image processing has proven to be quite effective in automating the process of meat inspection routine. Countries like Australia and the USA have already used some computational methods for classifying and typifying carcasses in their industries. Based on this scenario of modernization of beef cattle farming and the significant production and export of meat in Brazil, there is a high demand to parameterize and enable automation processes for evaluating beef carcasses, making them more dynamic and robust due to less human interference. . With this, the objective was to develop software for categorization of carcasses in processing on the slaughter line in slaughterhouses, using computer vision technologies. The Innovation Solution “Device for automatically classifying and typifying post-slaughter cattle carcasses” is intended to offer an alternative for the classification of cattle carcasses, more effective and with elimination of subjectivity, benefiting the entire production chain of the Brazilian beef cattle.
Status: Completed Start date: Tue Mar 01 00:00:00 GMT-03:00 2022 Conclusion date: Thu Aug 31 00:00:00 GMT-03:00 2023
Head Unit: Embrapa Agrosilvopastoral
Project leader: Luciano Bastos Lopes
Contact: luciano.lopes@embrapa.br