First, the conclusion: verification is stuck. In most cases (roughly 80–90%), it’s not a system issue—it’s because three details weren’t handled correctly: the ID photo, the face-recognition environment, and the spelling of your name. I did KYC for the first time myself, and the face recognition failed twice in a row; I spent about twenty minutes figuring out what was wrong. Today I’m organizing the specific situation from back then, along with the solutions that were later confirmed to work.
◆ First time getting stuck: face recognition wouldn’t pass no matter what
When I did face recognition the first time, the system asked me to perform a few specific actions—things like blinking and turning my head. I was doing it at night under a desk lamp, with dim lighting and a slightly yellow tint. The recognition progress bar would get stuck at about halfway, and then it would prompt “unable to match.” I retried twice, and got the same result. Only on the third attempt did I remember to change locations. I walked into the living room, turned on the ceiling light, and tried again—this time it passed right away. Later, when I reviewed what happened, I realized face recognition is much more sensitive to lighting uniformity than I’d imagined. Dim light or lamps with a yellowish color temperature can distort the image captured by the camera, so the system can’t determine whether it’s a live face or a photo, and it rejects it directly.
◆ Your ID photo was rejected, and I only noticed this reflection detail
When uploading the front and back of my ID, I was rejected once as well. The提示 said "the image is blurry or the information is unclear." I rechecked my photo and realized there was a slight reflection layer on the surface of the ID, covering a small part of a few digits of my ID number. Later, I placed the ID on a desk with no direct light, tilted my phone slightly when taking the photo, and the reflection basically disappeared. The four corners were all captured, the text was clear, and it was approved on the first try. This trap is easy for many people to miss—because to the naked eye the photo looks fine, but the system’s OCR is much more sensitive to reflections than humans are.
◆ Name spelling didn’t match the ID, and it almost got stuck again
When filling in personal information, the system requires the name to be entered in the pinyin or English spelling exactly as it appears on the ID. I was being lazy and entered it using the spelling I normally use, and after submitting, the system prompted that the name information had to match the ID exactly, so I had to review it again. Later, I compared the pinyin on my ID character by character and re-entered it, and only then did it pass. This step looks simple, but if you add one extra letter or miss a space, the system may mark it as a mismatch. I suggest writing it exactly as shown on the ID, one character at a time—don’t rely on memory.
◆ I selected the wrong region info, and the verification requirements changed accordingly
Another pitfall I ran into was that the region I selected during account registration didn’t exactly match the country on my actual ID. When I got to the real-name verification step, the required ID type didn’t match what I expected, and I had to ask customer support to figure out the process. This isn’t a severe mistake, but it can add an extra round to the verification flow. My later experience is: during registration, always choose the option where the issuing country of your ID matches, so the verification document requirements will align directly and you’ll save a lot of back-and-forth time.
◆ The few details that really work, based on my summary
First, facial recognition must be done in natural light or bright white light—avoid low light and tinted lighting. Second, take the ID photo on a flat surface with no reflections; having all four corners in frame and the text clearly visible are the baseline requirements. Third, enter the name spelling exactly as on the ID—no characters can be different. Fourth, the registration region must match the issuing country of your ID to avoid a mismatch between the verification document type and what the system expects. These aren’t rules I copied from somewhere—it's something I figured out only after getting rejected multiple times.
If you haven’t started registering yet, the official entry is here:
https://www.binance.com/register?ref=BNAPP
For Android users who haven’t installed the app yet, here’s the official installation package address:
https://download.binance.com/pack/BNApp_F0000680.apk
◆ FAQ
Q: What should I do if facial recognition keeps failing?
A: First, check the lighting. Dim light or yellow-tinted lamps are the most common reasons. Try again in natural light or a bright white-light environment—I solved it the same way.
Q: What if my ID photos are always prompted as blurry?
A: Place the ID on a flat surface with no direct light when taking the photo to avoid reflections covering the digits. Make sure all four corners are in the frame and the text is clearly readable.
Q: Why does the system say my name info doesn’t match?
A: The system requires your name to be filled in exactly using the pinyin or English spelling on your ID. Even adding one extra space or missing one letter can cause a mismatch. It’s recommended to fill it in by matching the ID entry character by character.
Q: How long does real-name verification take to pass?
A: If your materials are complete, the photo is clear, and your facial recognition environment is suitable, in my case the whole process—from submission to passing—takes about ten-something minutes. The exact time varies by person.
Q: Can I ask someone else to do it for me when I verify?
A: No. The facial recognition step requires the ID holder to operate on-site. The system’s liveness detection and face matching will directly block it if it doesn’t match.
In the end, real-name verification is all about details: lighting, photo clarity, name spelling, and region matching. As long as you pay attention to those four areas, it’s unlikely you’ll get stuck. After you lay the groundwork for account security, whether you’re checking market moves or setting up assets like $BTC, you can operate with confidence.
#币安KYC认证 #Binance real-name verification tutorial