Find HS Code and trade information for fingerprint lock 2

Harmonized System Code Classification

Found 1 matching results (CN → US)
HS Code Official Doc Tariff Rate Origin Destination Effective Date
9033009000 Doc 59.4% CN US 2025-05-12

Fingerprint Lock 2

A fingerprint lock, specifically referencing a “2” designation implying a second generation or updated model, is a biometric security device that utilizes an individual’s unique fingerprint characteristics for authentication and access control.

Material

Fingerprint locks are constructed from a variety of materials, chosen for durability, security, and environmental resistance. Common materials include:

Purpose

The primary purpose of a fingerprint lock is to provide secure access control without the need for traditional keys, PIN codes, or cards. They offer enhanced security and convenience.

Function

Fingerprint locks function by:

  1. Scanning: Capturing an image or data representation of a user’s fingerprint. This is achieved through various sensor technologies (see Common Types).
  2. Feature Extraction: Identifying unique characteristics (minutiae) within the fingerprint, such as ridge endings, bifurcations, and loops.
  3. Template Storage: Storing the extracted fingerprint data as a digital template. This template is not the actual fingerprint image, but a mathematical representation of it.
  4. Matching: Comparing the scanned fingerprint against the stored templates. If a sufficient match is found, the lock is unlocked.

Usage Scenarios

Fingerprint locks are employed in a wide range of applications:

Common Types

Fingerprint lock technology has evolved, resulting in several sensor types:


Based on the provided information, fingerprint locks fall under the category of security devices utilizing biometric identification.

Regarding HS code 9033.01.00, it is important to note that this covers a broad range of security devices. When declaring fingerprint locks, providing detailed specifications regarding their function (e.g., access control, intrusion detection) is crucial for accurate classification.