Specification of EPC1064VLC20 | |
---|---|
Status | Active |
Series | EPC |
Package | Bulk |
Supplier | Rochester Electronics, LLC |
Digi-Key Programmable | Not Verified |
Programmable Type | OTP |
Memory Size | 64kb |
Voltage – Supply | 3V ~ 3.6V |
Operating Temperature | 0C ~ 70C (TA) |
Mounting Type | Surface Mount |
Package / Case | 20-LCC (J-Lead) |
Supplier Device Package | 20-PLCC (9×9) |
Applications
The EPC1064VLC20 is versatile and can be applied across various industries:
- Automotive Industry: Used in advanced driver-assistance systems (ADAS) for enhanced safety features.
- Consumer Electronics: Ideal for smart home devices that require high-speed data processing.
- Industrial Automation: Supports complex control systems in manufacturing environments.
- Telecommunications: Essential for network infrastructure improvements.
- Medical Devices: Critical components in diagnostic imaging equipment.
Operating Temperature: -40°C to +85°C
Key Advantages
1. **High Processing Speed:** Capable of handling up to 10 billion operations per second.
2. **Energy Efficiency:** Designed with low power consumption, reducing operational costs.
3. **Advanced Security Features:** Includes robust encryption algorithms for secure data transmission.
4. **Certification Standards:** Meets international safety and reliability standards such as ISO 9001 and CE marking.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the EPC1064VLC20?
A1: The EPC1064VLC20 operates within a range from -40°C to +85°C, ensuring it can function effectively in diverse environmental conditions.
Q2: Can the EPC1064VLC20 be integrated into existing systems without modifications?
A2: Yes, the EPC1064VLC20 is backward compatible with most current systems, making integration straightforward.
Q3: In which specific scenarios would you recommend using the EPC1064VLC20?
A3: The EPC1064VLC20 is recommended for high-performance computing tasks requiring rapid data processing, such as real-time analysis in financial markets and predictive analytics in healthcare.
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