Mobile Phone-Based Facial Recognition App Shows Promise in Rabies Vaccination Efforts
Using a mobile phone-based facial recognition application, researchers at Washington State University tested the effectiveness of the technology in rabies vaccination efforts in rural Tanzania. The app, developed in collaboration with PiP My Pet, a Canadian company, and researchers in WSU’s Paul G. Allen School for Global Health, proved remarkably accurate in identifying vaccinated and unvaccinated dogs during a subsequent visit to surrounding villages. With the ability to accurately and efficiently identify vaccinated dogs, this technology has the potential to significantly improve rabies elimination programs in Africa and Asia.
Facial Recognition Algorithm Identifies Dogs by Examining Key Components of Their Faces
The facial recognition algorithm used within the application examines key components of a dog’s face and compares it to images of other dogs in its archive of previously stored images. Images with the highest number of similar components are returned as possible matches. The app relies on image quality and accurate information about each dog in order to match the vaccinated dogs. The researchers found that the app’s effectiveness could be improved with better technology, such as newer smartphones with high-quality cameras, and additional operator training.
Mass Vaccination of Dogs Critical in Controlling Human Rabies Globally
Domestic dogs are the main reservoir for human rabies, and controlling human rabies globally requires the mass vaccination of dogs. However, one of the major challenges in mass vaccination efforts is identifying which dogs have and haven’t been vaccinated. Microchips are expensive and collars can be removed by owners. The mobile phone-based facial recognition app offers a potential solution to this problem, as it accurately identifies vaccinated and unvaccinated dogs, making it a valuable tool in successful rabies elimination programs.
Rabies Kills an Estimated 60,000 People Annually, Mostly in Africa and Asia
Rabies is responsible for an estimated 60,000 human deaths annually, with nearly all cases occurring in Africa and Asia. Dog bites account for more than 99% of these cases. Systematic and consistent vaccination efforts, like those led by WSU’s Rabies Free Africa program, are effective in controlling the disease. However, approximately 40% of dogs in an area must be vaccinated at any one time to achieve herd immunity and prevent sustained virus transmission. Accurate and efficient identification of vaccinated dogs is vital for the success of rabies elimination programs.
App’s Potential Extends Beyond Rabies Vaccination Efforts
While the mobile phone-based facial recognition app shows great promise in improving rabies vaccination efforts, it also holds potential for use in other species, disease control efforts, and research purposes where animals need to be identified. The technology could be further enhanced with better smartphones and additional training for operators. The team is also working on making the app’s matching facility available offline, reducing reliance on internet access in remote areas. Funding opportunities and collaborations are being sought to further develop and advance this technology.
Analyst comment
Positive news.
The market for the mobile phone-based facial recognition app will likely experience growth as it shows promise in improving rabies vaccination efforts. There is potential for expansion into other species, disease control efforts, and research purposes. Enhancements and improvements to technology and operator training will contribute to its success. Funding opportunities and collaborations will help drive further development and advancement of this technology.
