bn注册专用教程

TL;DR: There are tons of Binance account opening tutorials online, but no one tells you where to find the “verification card” and what happens if you choose the wrong region. I opened three accounts myself (one for personal use, two to help family members), and I’ve hit all the common traps—getting rejected because my ID reflected light, choosing the wrong region and having to redo everything. I’ve compiled this article based on my real experience.
To be honest, the first time I helped my cousin open a Binance account, I thought it would take five minutes. In the end, it dragged on for almost an hour. It’s not that the process is complicated—it's that nobody tells you ahead of time which steps are easy to mess up. This piece writes down my own real experiences opening accounts and helping others open accounts, with a bit more “human language” than the official guides.

First, the conclusion: For opening an account, you don’t need facial recognition just to register. Just verify your email or phone number. Facial recognition is something you’ll encounter later in the “real-name verification” step. I mixed up these two steps myself at the time, and ended up worrying for half the day for nothing.
◆ At first, I thought registration meant having to scan my face, but I got stuck at the wrong step.
The first time I set up a Binance account, I automatically assumed that registering a “finance app” would definitely require facial recognition. So after entering my email and the verification code, I kept wondering when the camera prompt would pop up. But once I entered the code and set my password, the account was created right away—there was no request for camera permissions at all. I was honestly a bit stunned then. I thought maybe I had missed a step, so I kept checking the settings page over and over for a long time, until I confirmed that the registration step really is just email/phone number + verification code—nothing more.

First, the conclusion: after registering a Binance account, can you successfully top up? The key isn’t the process itself—it’s whether you’ve double-checked the “Network” option before making the deposit. My first time depositing, I didn’t notice this detail. The coins I sent went through on-chain, but my account balance still didn’t show up for a long time. At the time, I was completely baffled. Later, I finally figured out what the problem was. Today, I’ll explain this pitfall and the approach that I later verified works, once and for all.
◆ The pitfall I hit on my first top-up: I selected the wrong network—the money kept “flying” for a long time
After registering and getting my identity verification approved, I was excited and transferred some assets from another platform to start trading. On the deposit page, when choosing a coin, there was a “Network” option below. I didn’t look closely and just clicked an option that looked familiar to me, then confirmed the transfer. I waited for almost an hour, and my account balance didn’t move at all. I even thought I might have been scammed. After searching for a long time, I finally found out: the same coin can run on different chains. If you select the wrong network, the assets can still arrive, but the address system differs. Whether you can recover everything depends on whether the other chain is compatible—if you’re unlucky, you may end up losing it. Later, I learned that when you select the network under each coin on the deposit page, the system will display the network’s current minimum amount for arrival and an estimated confirmation time. I didn’t notice that line of text at the time. After suffering that loss, I never dared to skip it again.

First, the conclusion: both methods can register successfully, but after doing it myself, I realized email registration is clearly more reliable, while SMS verification can get stuck in some regions. I chose the phone number option to save time the first time. The verification code took nearly twenty minutes to arrive. When I switched to email, I received it in almost seconds. Today I’ve organized this real experience and the insights I figured out afterward.
◆ The first pitfall I hit during registration: the SMS verification code never arrived
At the time, I assumed the phone number would be simpler. I entered the number, tapped send, and the interface said the verification code had been sent—yet I stared at the messages inbox and saw nothing. I resent it three times, tried again at a different time period, and it was the same. I even started to suspect I had entered the number wrong, and I checked it repeatedly just to make sure it was correct. I spent almost twenty minutes messing around before I remembered to look at the small text line at the bottom of the registration page. It said that if you can’t receive the code, you can switch to email verification. That’s when I realized the issue might be with the SMS channel—certain numbers don’t always reliably receive international verification codes across all network environments.

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.