Specification of EPCQ128SI16N | |
---|---|
Status | Obsolete |
Series | EPCQ |
Package | Tube |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Programmable Type | In System Programmable |
Memory Size | 128Mb |
Voltage – Supply | 2.7V ~ 3.6V |
Operating Temperature | -40C ~ 85C |
Mounting Type | Surface Mount |
Package / Case | 16-SOIC (0.295″, 7.50mm Width) |
Supplier Device Package | 16-SOIC |
Applications
The EPCQ128SI16N is versatile and can be utilized across various industries due to its robust design and high performance.
- Automotive: Used in advanced driver-assistance systems (ADAS) for enhanced safety features like lane departure warning and adaptive cruise control.
- Industrial: Employed in machinery control systems that require precise timing and reliability under harsh conditions.
- Consumer Electronics: Integrated into smart home devices such as smart thermostats and security cameras for improved functionality and user experience.
- Medical Devices: Utilized in medical imaging equipment to ensure accurate and timely image processing.
- Telecommunications: Applied in network infrastructure for efficient data transmission and management.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High-speed processing capabilities up to 1 GHz.
2. Advanced memory interface supporting DDR4 for faster data transfer rates.
3. Energy-efficient design with low power consumption suitable for battery-operated devices.
4. Compliance with multiple certification standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the EPCQ128SI16N?
A1: The EPCQ128SI16N operates within a wide range from -40°C to +85°C, making it suitable for diverse environments.
Q2: Can the EPCQ128SI16N be used in wireless communication devices?
A2: Yes, the EPCQ128SI16N supports various communication protocols, including Wi-Fi and Bluetooth, ensuring seamless connectivity.
Q3: In which specific scenarios would the EPCQ128SI16N be most beneficial?
A3: The EPCQ128SI16N excels in scenarios requiring high computational power and fast data processing, such as real-time analysis in autonomous vehicles and high-resolution video encoding in streaming services.
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