JR/T 0154-2017 in English
VALIDTechnical specification for authentication capability of RMB cash authentication
- Issued on:2017-07-06
- Implemented on:2017-07-06
- File Format:PDF
- Delivery:Via email within 1~3 business days
$156.00
| Standard No: | JR/T 0154-2017 |
| Document status: | VALID |
| Title in English: | Technical specification for authentication capability of RMB cash authentication |
| Title in Chinese: | 人民币现金机具鉴别能力技术规范 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2017-07-06 |
| Implemented on: | 2017-07-06 |
| Professional Classification: | JR-Finance |
| Related Topics: | RMB
machinery identify RMB USD civilian robot cash difference between gold and gold Canadian Dollar Identification technology defined by gb169992010 JR/t t0154 |
本标准内容包括人民币现金机具分类、人民币防伪特征分类，人民币现金机具鉴别能力要求，纸币鉴别机具及硬币鉴别机具的鉴别能力测试方法及检验规则。本标准适用于具有人民币真假鉴别功能的现金机具，包括纸币鉴别机具和硬币鉴别机具。
Introduction
Standard Framework and Technological Evolution
| Version Features | JR/T 0154-2017 | Previous Standards |
|---|---|---|
| Anti-counterfeiting Feature Coverage | 18 banknotes + 13 coins | 12 banknotes + 8 coins |
| Identification Speed Requirements | Banknotes ≤900 pieces/min Coins ≤600 pieces/min | Banknotes ≤600 pieces/min Coins ≤300 pieces/min |
| Error Recognition Rate Control | ≤0.03% (financial institutions) | ≤0.05% |
Analysis of core anti-counterfeiting features
Key features of banknotes
- Magnetic characteristics of security thread: Using longitudinal magnetic encoding technology, the magnetic field strength needs to reach 12-18 Gauss
- Infrared perspective image: The infrared camera needs to identify the characteristic absorption under the 940nm band
- Serial number recognition: OCR misreading rate ≤0.2%, support FSN standard format output
Key points for coin identification
- Magnetic characteristics of security thread: Using longitudinal magnetic encoding technology, the magnetic field strength needs to reach 12-18 Gauss
- Infrared perspective image: The infrared camera needs to identify the characteristic absorption under the 940nm band
- Serial number recognition: OCR misreading rate ≤0.2%, support FSN standard format output
Key points for coin identification
- Bilatary metal structure coins: Need to detect the difference in electromagnetic properties of the core ring material
- Invisible graphics: Micron-level embossed features detected at a 45° angle
- Edge tooth pattern: Infrared laser scanning tooth pitch tolerance ±0.05mm
Machine classification and performance requirements
| Machine type | Identification speed | Misrecognition rate | Error recognition rate |
|---|---|---|---|
| Identification machine for financial institutions | ≥900 sheets/min | 0% | |
| Self-service deposit machine | ≥300 pieces/min | 0% | ≤1% |
| Coin sorting machine | ≥600 pieces/min | 0% | ≤1% |
Implementation Suggestions
Test process optimization
- Adopt the mixed test method: mix the special test samples with the circulating currency at a ratio of 1:100
- Continuous test time ≥ 4 hours, sample size ≥ 30,000 (banknotes)/10,000 (coins)
- The serial number test must cover all font variants (Songti, Heiti, Youyuan)
Technical upgrade path
- Establish a dynamic feature library and update the counterfeit currency feature data every quarter
- Add a multi-spectral imaging module, covering the 380-2500nm band
- Realize blockchain storage of identification results to ensure that data cannot be tampered with
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