With the proliferation of retail analytics and smart store concepts, AI-powered traffic analysis cameras have become core equipment for optimizing customer experience and operational efficiency. The power delivery and load switching systems, serving as the "heart and nerves" of the unit, provide stable and efficient power to key loads such as the AI SoC, image sensors, IR LEDs, and communication modules. The selection of power MOSFETs directly determines system thermal performance, power efficiency, form factor, and 24/7 reliability. Addressing the stringent requirements of embedded cameras for low heat, compact size, energy efficiency, and stable operation, this article focuses on scenario-based adaptation to develop a practical and optimized MOSFET selection strategy.

I. Core Selection Principles and Scenario Adaptation Logic

(A) Core Selection Principles: Four-Dimensional Collaborative Adaptation

MOSFET selection requires coordinated adaptation across four dimensions—voltage, loss, package, and reliability—ensuring precise matching with the camera's operating conditions:

Sufficient Voltage Margin: For common 12V/24V PoE or DC input, reserve a rated voltage margin of ≥50%. For a 12V bus, prioritize devices with ≥20V rating.

Prioritize Low Loss & Thermal Performance: Critical for enclosed, passively cooled designs. Prioritize low Rds(on) to minimize conduction loss and heat generation in power paths. Low Qg aids efficient high-frequency switching for DC-DC conversion.

Package & Size Matching: Choose compact, thermally efficient packages (e.g., DFN, SOT) to fit dense PCB layouts. Low-profile packages are essential for slim camera designs.

Reliability for Continuous Operation: Meet 24/7 durability requirements with stable performance over a wide temperature range (-40°C to 125°C), adapting to varied installation environments.

(B) Scenario Adaptation Logic: Categorization by Load Type

Divide loads into three core scenarios: First, Core Power Distribution (High Current), supplying the AI processor and sensors, requiring high efficiency and excellent heat dissipation. Second, Multi-Channel Load Control (Medium Current), for managing peripherals like IR arrays or fans, requiring multi-channel integration and good Rds(on). Third, Auxiliary Function Switching (Low-Medium Current), for controlling communication modules or indicators, requiring a balance of voltage rating, current, and minimal board space.

II. Detailed MOSFET Selection Scheme by Scenario

(A) Scenario 1: Core Power Distribution to AI SoC/ISP – High-Efficiency Power Device

The main processor demands a high-current, ultra-stable supply with minimal voltage drop and heat generation within the sealed enclosure.

Recommended Model: VBGQF1405 (Single-N, 40V, 60A, DFN8(3x3))

图1: AI超市客流分析摄像头方案功率器件型号推荐VBGQF1405与VBQF1405与VBQF3316与VB1630产品应用拓扑图_en_01_total

Parameter Advantages: SGT technology achieves an ultra-low Rds(on) of 4.2mΩ at 10V. Continuous current of 60A easily handles peak loads of advanced SoCs. The DFN8 package offers excellent thermal performance (RthJA ~40-50°C/W) crucial for passive heat dissipation.

Adaptation Value: Minimizes conduction loss in the main power path (e.g., for a 12V/3A core rail, loss is only ~0.05W), directly reducing internal temperature rise. Enables high-frequency synchronous rectification in intermediate DC-DC stages, boosting overall system efficiency to >92%.

Selection Notes: Ensure input voltage transients are within 30V. Requires a dedicated >150mm² thermal pad with vias for heat spreading to the PCB or chassis. Pair with a driver capable of switching this low-Rds(on) device efficiently.

(B) Scenario 2: Multi-Channel Peripheral Control (IR LEDs, Fan) – Integrated Power Switch

Controlling multiple IR LED arrays or a cooling fan requires compact, multi-channel switches with robust current handling.

Recommended Model: VBQF3316 (Dual-N+N, 30V, 26A per channel, DFN8(3x3)-B)

Parameter Advantages: Integrated dual N-MOSFETs in a compact DFN save over 50% board space versus two discrete devices. Low Rds(on) of 16mΩ at 10V per channel minimizes voltage drop across IR LED strings. 30V rating is ample for 12V/24V systems.

Adaptation Value: Enables independent PWM dimming of multiple IR LED zones for optimized illumination and power saving. Can also efficiently drive a small cooling fan. Integration simplifies layout and reduces parasitic inductance.

Selection Notes: Verify total current per channel stays below 70% of rating (e.g., ~18A). A small gate resistor (4.7Ω-22Ω) per channel is recommended to dampen ringing. Ensure adequate copper for the shared drain pads.

(C) Scenario 3: Auxiliary Function Switching (4G/Wi-Fi, Indicator) – Compact General-Purpose Switch

Switching auxiliary modules like cellular modems or high-power indicators requires a reliable, space-saving switch with a good voltage rating.

Recommended Model: VB1630 (Single-N, 60V, 4.5A, SOT23-3)

Parameter Advantages: High 60V drain-source rating provides robust protection against voltage spikes, especially on longer cable runs for external accessories. Good Rds(on) of 19mΩ at 10V for its tiny package. SOT23-3 is the industry-standard miniature footprint.

Adaptation Value: Perfect for enabling/disabling power-hungry 4G/LTE modules (often rated 2A+ peak) to save energy when not in use. Also suitable for switching local indicator LEDs. The high VDS offers a safety margin in 24V PoE or 12V automotive environments.

Selection Notes: Ideal for MCU GPIO direct drive (with series resistor). For inductive loads (relays, solenoids), include a flyback diode. Keep continuous current below 3A in ambient temperatures above 60°C.

图2: AI超市客流分析摄像头方案功率器件型号推荐VBGQF1405与VBQF1405与VBQF3316与VB1630产品应用拓扑图_en_02_scenario1

III. System-Level Design Implementation Points

(A) Drive Circuit Design: Matching Device Characteristics

VBGQF1405: Requires a dedicated gate driver (e.g., FD6288T) with peak current >2A for fast switching in synchronous buck converters. Minimize power loop inductance.

VBQF3316: Can be driven by dual-channel drivers or MCU GPIOs with appropriate buffers. Use individual gate resistors for each channel.

VB1630: Can be driven directly from 3.3V/5V MCU GPIO. A 10-100Ω gate resistor is sufficient. Add TVS at the drain if switching external connections.

(B) Thermal Management Design: Critical for Enclosed Cameras

VBGQF1405: Priority #1 for thermal design. Use maximum possible copper pour (≥150mm²), 2oz copper, and multiple thermal vias under the DFN pad to conduct heat to inner PCB layers or the metal housing.

VBQF3316: Provide a solid thermal pad for the DFN package. Ensure symmetry if both channels are heavily loaded.

VB1630: Standard PCB copper connected to its pins is usually sufficient for its power level.

Overall: Position high-power MOSFETs away from heat-sensitive image sensors. Utilize the camera's metal chassis as the primary heat sink.

(C) EMC and Reliability Assurance

EMC Suppression:

Place input/output ceramic capacitors (100nF + 10uF) close to MOSFETs.

图3: AI超市客流分析摄像头方案功率器件型号推荐VBGQF1405与VBQF1405与VBQF3316与VB1630产品应用拓扑图_en_03_scenario2

Use ferrite beads on switching node outputs to sensitive analog/RF sections (e.g., image sensor rails).

Ensure a clean, low-inductance ground plane for power returns.

Reliability Protection:

Derating: Operate MOSFETs at ≤70% of rated current and ≤60% of rated voltage in the worst-case operating temperature.

Inrush/Overcurrent Protection: Use eFuses or current-limit controllers on input feeds, especially for VBQF3316 driving capacitive LED arrays.

ESD/Surge Protection: Implement TVS diodes on all external connections (Ethernet, power input, auxiliary I/O). Use gate-source resistors/clamp diodes for VB1630 if the gate connects externally.

IV. Scheme Core Value and Optimization Suggestions

(A) Core Value

Thermal & Efficiency Optimization: Enables cooler operation of fanless AI cameras, enhancing long-term reliability of image sensors and processors. System-wide efficiency gains extend operational life.

High Integration in Compact Form Factor: The combination of DFN and SOT packages allows for a dense, high-performance power design within the strict size constraints of modern cameras.

Robustness for Diverse Installations: High voltage ratings (e.g., VB1630's 60V) and good thermal design provide tolerance against unstable power sources and high ambient temperatures found in retail settings.

(B) Optimization Suggestions

Power Scaling: For cameras with >5A core SoC requirements, parallel two VBGQF1405 devices. For simpler cameras, VBQF1405 (40A) is a cost-effective alternative.

图4: AI超市客流分析摄像头方案功率器件型号推荐VBGQF1405与VBQF1405与VBQF3316与VB1630产品应用拓扑图_en_04_scenario3

Integration Upgrade: For advanced designs with multiple voltage domains, consider multi-channel load switch ICs, but use VBQF3316 for higher current/higher efficiency needs.

Special Scenarios: For extended temperature range (-40°C to 105°C+) operation, select corresponding industrial/automotive grade variants of these parts.

PoE++ Adaptation: For 802.3bt PoE++ cameras (up to 71W), ensure input surge protection is robust and consider slightly higher VDS ratings for primary switches.

Conclusion

Strategic MOSFET selection is central to achieving the low-thermal, high-efficiency, and reliable power design required for always-on AI analysis cameras. This scenario-based scheme, utilizing VBGQF1405 for core power, VBQF3316 for integrated control, and VB1630 for robust auxiliary switching, provides a balanced technical foundation. Future exploration can focus on integrating smart power stages and advanced packaging to further miniaturize power systems, supporting the evolution of ever more intelligent and compact visual analytics platforms.