Yemen has been an integral component of the great kingdoms and dynasties that shaped the Arabian Peninsula and Africa for thousands of years. Yemen was formally reunified in 1990, and peace talks have been underway since 2016, but the country's government, economy, and people remain in disarray as a result of ongoing hostilities that sprang up when the British withdrew from the country's northern regions in 1967.
Despite the decrease in violence, hunger is still a major problem. According to a 2019 study by the United Nations, more than 75% of Yemen's population, or more than 24 million people, are in need of food and other forms of humanitarian help. The gravity of the problem becomes clear when you realize that 40% of the population is under the age of 15.
Getting Past Identity Problems To Help
The largest humanitarian food aid organization in the world was called into action in response to the crisis in Yemen, but they quickly realized they could not assist the country unless its identification issues were resolved.
The concept of "identity" is taken for granted due to the ease with which many countries provide legal identifiers such as birth certificates, driver's licenses, voter registration, citizenship papers, and Social Security cards. However, we at M2SYS are aware that the reality on the ground in Yemen is very different. We know their methods of identifying individuals and maintaining track of records are dated or nonexistent since we created their biometric voter registration database.
For food assistance to be distributed effectively in Yemen, precise information about where and who is in need is required.
The challenges were quite large. Neither a dependable national ID database nor a legal identification framework existed before to the outbreak of conflict in Yemen, which has worsened human suffering and hampered efforts to distribute food. Millions of individuals had no choice but to seek safety inside their own country as a result of the conflicts. Also, evil actors within the country had begun "gaming the system" of help, such that food and money were being misappropriated.
Collecting trustworthy data on the "who" and "where" of the issue would make it more difficult to plan and administer a dependable food assistance system.
The nonprofit organization saw a need to create a biometric system to identify and authenticate the adult head of home and members of each beneficiary family group. Distribution of food will be restricted to families where the head of the household (or their designated representative) has been registered in the biometric database. This simple approach helps ensure that assistance reaches those who need it while eliminating waste, fraud, and abuse. In many famine-stricken areas, criminal groups seeking to sell NGO-provided food on the black market are a typical source of food theft.
Solved: Establishing a National Database for Biometric Data
The new approach requires the enrolling family head to scan all 10 family members' fingerprints into a single database. Fingerprints should be kept on file if you wish to enroll someone or verify their identification with absolute certainty.
When adding new records to a database, they are duplicated to prevent duplicates. Assist customers in proving their identities while entering a warehouse by scanning just one finger. With this system in place, only people who have signed up to get food for their family will really receive that food, which reduces fraud and the abuse of humanitarian assistance.
Over the course of the last 20 years, M2SYS Technology has collaborated with a diverse range of integrators, partners, NGOs, and government agencies to successfully implement more than 100 government projects. Our M2SYS eGov platform may be adapted by system integrators to fit the requirements of any digital transformation project for a government organization, wherever in the globe. It comes equipped with robotics, AI, and biometrics of its own, and it can seamlessly connect to any external platform. As long as your present systems are connected to our engine, integrators may make adjustments to things like identification criteria, process automation, user interfaces, and more in a matter of hours.