Uber Improves Security with Real Time ID Check Rollout

Emma Okonji

Uber has introduced Real-Time ID to Nigeria, Ghana and Kenya, targeted at improving security across the three African countries.

The Real-Time ID is another intelligent feature that will address security issues around its operations and provide additional comfort and confidence for all Uber riders.

Earlier this year, the intelligent new safety feature was introduced to driver-partners in South Africa, and based on its success; it has been introduced to other markets in Africa. The technology works by prompting driver-partners to periodically share a selfie in the app before going online and accepting rides. Uber then compares this photo to the one corresponding to the account on file.

This feature works on facial recognition technology and begins by identifying the drivers face, then it builds a feature set by focussing on key features, and finally, compares the feature set to the validated photo Uber has on file. If the two photos don’t match, the account is temporarily blocked while Uber investigates the situation. This helps Uber to ensure, in real time, that the driver-partner using the app matches the account it has on file. Given that verification takes only a few seconds to complete, this feature proactively and efficiently builds more security into the app.

General Manager for Uber sub-Saharan Africa, Alon Lits, said: “During our pilot of Real-Time ID Check over the past few months in South Africa, we learned that more than 99 per cent of drivers were verified. This new feature makes sense as a simple action of taking a selfie is a language that people all over the world understand. This extra security feature does not inconvenience driver-partners, which is extremely important for us.”

According to Lits, Real-time ID check assures riders that when they are picked up, the right person is behind the wheel.
“This prevents fraud and protects drivers’ accounts from being compromised. An important part of safety is verifying that the driver-partner who is picking up riders is the same person who underwent Uber’s screening process. This software feature is a result of various cutting edge technical solutions being tried and tested in face, voice, and gesture recognition. Face verification stood out on top compared to all other solutions and is an example of proactive technology that solves potential challenges before they occur,” Lits said.

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