
Yes, not all traffic violations are necessarily captured by surveillance cameras. Here is the relevant information: Introduction: Generally refers to traffic violations, which are actions by motor vehicle drivers, non-motor vehicle drivers, or pedestrians that violate road traffic safety laws and traffic management regulations. Additionally, violations can also refer to actions that contravene standard procedures or rules. Regulations: Violations refer to actions by motor vehicle drivers, non-motor vehicle drivers, or pedestrians that breach road traffic safety laws and traffic management regulations. Classification: Generally, traffic violation fines fall into two main categories. The first is on-the-spot violation citations. The second is electronic violation records. On-the-spot violation citations are usually issued by traffic law enforcement officers who gather evidence at the scene and issue a penalty decision.

Hey, I've specifically researched this issue! Traffic camera violations are definitely not a random sampling system. I recently saw a public statement from the traffic police department stating that high-definition cameras operate 24/7 to capture violations like speeding and running red lights, all of which are automatically recorded. But here's the key point: every single piece of data is manually reviewed by officers in the backend. I personally saw cases in car enthusiast groups where someone wasn't fined for crossing solid lines, but a friend with the same violation got penalized. Later, we learned it was because the system missed the detection, and the officer overlooked minor violations during review. But don't take chances—current AI recognition accuracy exceeds 90%, with coverage at over 98% for major intersections, meaning it's watching you around the clock.

As a veteran driver with twenty years of experience, I often tell my apprentices: Electronic eyes are even sharper than human eyes! It's certain that all violations are captured. But whether you'll be fined depends on two things. First, whether the evidence of the violation is complete—for example, if the license plate is unreadable during heavy rain, it's invalid. Second, the priority of traffic police enforcement policies—like in small to medium-sized cities, they might focus on cutting in line during rush hours and speeding during off-peak times. I remember last time when I took students for a test, changing lanes over a solid line at an intersection was captured, and the system instantly sent a text message—it was definitely not random sampling. So when you're behind the wheel, always follow the rules.

My neighbor learned this the hard way. The traffic camera caught him changing lanes over the line, but he insisted he was just unlucky to be randomly checked. However, when the records were pulled, it showed that road captures hundreds of violations daily, and penalties are selectively issued due to limited police resources. Nowadays, AI automatically recognizes license plates, and all traffic violation videos are archived for at least three months. I specifically checked my local traffic police department's public report: in 2023, the city's traffic cameras recorded 4.3 million violations, but only 2.6 million were actually penalized. Do you really think this is random checking? In reality, they filter out which violations to penalize—those who weren't fined just got lucky.

From a technical perspective, it's absolutely comprehensive. The electronic eye operates in three steps: loop/radar detects violations → 2-megapixel camera captures images (including close-ups of license plates) → AI algorithms automatically identify. However, there are filtering rules: 1) Nighttime images with excessive noise may be discarded; 2) Newly activated devices typically issue warnings rather than penalties during the first month; 3) Repeated violations on the same road section may be processed collectively. Having participated in smart traffic projects, I can confirm the equipment specifications clearly state a 99% capture rate with only a 0.7% miss rate. What's referred to as 'spot checks' is actually the manual review process, given the enormous daily volume of captured data.


