Identity verification through biometrics has been a long-standing practice for humans, utilizing techniques like unique fingerprints, genetic codes, ocular scans, and blood vessel patterns. Interestingly, the realm of animal identification has not witnessed the same level of technological advancement. However, Syed Umaid Ahmed, alongside colleagues at FAST-NUCES in Karachi, Pakistan, has embarked on a pioneering endeavor known as Animal Biometrics. This innovative project aims to bridge the gap by harnessing distinctive nasal patterns to register and authenticate animals. Specifically targeting the issue of animal theft prevalent in Pakistan.
Theft of animals has persistently plagued Pakistan, posing a substantial risk to farmers and the rural economy. The Animal Biometrics project presents a promising solution by creating a dependable and user-friendly animal identification and ownership validation system. This groundbreaking approach empowers farmers and law enforcement agencies to effectively track and recover stolen animals. Thereby mitigating theft and promoting enhanced animal welfare.
The smartphone application developed by Syed’s team enables users to capture images of an animal’s nasal region using their mobile devices. These images are then subjected to sophisticated algorithms trained on a vast dataset comprising over 4,000 photographs of cattle-related features. Employing advanced pattern recognition techniques, the algorithm accurately identifies and catalogs each animal’s unique identity within an extensive directory. This cutting-edge technology offers a non-invasive and convenient means of authenticating animals. Eliminating the necessity for invasive procedures or physical contact.
Syed Umaid Ahmed and his dedicated team have made remarkable strides in the development of the Animal Biometrics application. Currently standing at an impressive 70% completion. A significant portion of their efforts has been devoted to training the algorithm to precisely recognize and match nasal patterns across diverse animal species. Leveraging state-of-the-art artificial intelligence methodologies, they have achieved astounding outcomes. Syed is unwavering in his commitment to ensuring the technology’s reliability and efficiency before its public release.
An exceptional aspect of the Animal Biometrics project lies in its ethos of openness and accessibility. The smartphone application will be made available as an open-source tool, enabling widespread adoption and utilization of this transformative technology. This approach fosters collaboration, innovation, and customization by empowering developers to build upon the existing framework. By providing unrestricted access to the application. Syed and his team democratize the use of animal biometrics. And, empowering farmers and communities throughout Pakistan to effectively safeguard their livestock.
The Animal Biometrics project epitomizes Pakistan’s growing influence in the field of artificial intelligence (AI). The nation has witnessed remarkable advancements in diverse AI applications, spanning healthcare AI for disease detection and diagnosis, natural language processing, robotics, and computer vision. Spearheaded by Syed Umaid Ahmed, Animal Biometrics has the potential to revolutionize animal identification and ownership authentication, ensuring the security of farmers’ livelihoods, promoting improved animal welfare, and serving as a blueprint for global advancements in the domain of animal biometrics.