Official Raspberry Pi 5 4GB AI Development Bundle with 13 TOPS AI HAT+ & Sony AI Camera

Step into the future of Artificial Intelligence and Machine Learning with the Virtual Pathshala Official Raspberry Pi 5 4GB AI Development Bundle. This complete edge-AI hardware suite is engineered to provide students, researchers, developers, and makers with everything required to build high-performance AI vision applications without relying on cloud processing.

At the core of this kit is the Raspberry Pi 5 (4GB RAM), featuring a 2.4GHz quad-core 64-bit Arm Cortex-A76 processor, delivering up to 3x CPU performance compared to previous generations. Paired with the Official Raspberry Pi AI HAT+ (13 TOPS) and the onboard-inference Raspberry Pi AI Camera (Sony IMX500), this bundle allows you to run complex deep learning models, real-time object tracking, pose estimation, and automated visual inspection directly at the edge.

Key Highlights & Features:

• Next-Gen Edge AI Performance: Includes the official Raspberry Pi AI HAT+ powered by the Hailo-8L neural processing unit (NPU), delivering up to 13 TOPS (Trillion Operations Per Second) for accelerating neural networks.

• On-Sensor Intelligent Vision: Equipped with the Official Raspberry Pi AI Camera featuring a 12.3MP Sony IMX500 sensor with integrated AI processing for zero-latency object detection and frame processing.

• Peak Performance Thermal Management: Includes the Official Raspberry Pi 5 Active Cooler, combining an aluminum heatsink with a temperature-controlled blower fan to prevent thermal throttling during heavy AI workloads.

• Stable & Reliable Powering: Bundled with the Official 27W USB-C PD Power Supply, delivering high-current power (5.1V / 5A) to ensure stable operation for the Pi 5 and attached expansion HATs.

• Complete Ready-to-Use Setup: Comes with a 32GB MicroSD Card, Official Red-White Case, and Micro-HDMI to HDMI Cable for immediate out-of-the-box deployment.

What You Can Build:

1. Real-Time Object Detection & Tracking: Build automated security, surveillance, or sorting systems that identify and track objects, faces, or vehicles at high frame rates.

2. Smart Traffic & Pedestrian Monitoring: Analyze traffic flow, vehicle counts, and pedestrian safety metrics locally without cloud latency.

3. Industrial Quality Control & Defect Detection: Implement automated visual inspection lines to detect surface flaws, packaging errors, or assembly issues in real time.

4. Autonomous Robotics & Smart Drones: Combine computer vision with navigation for self-driving indoor robots or autonomous obstacle avoidance systems.

5. AI-Powered Health & Pose Estimation: Monitor posture, track hand gestures, or analyze human movement for fitness and safety monitoring.

Technical Specifications:

• Processor: Broadcom BCM2712 2.4GHz quad-core 64-bit Arm Cortex-A76

• Memory (RAM): 4GB LPDDR4X-4267 SDRAM

• AI Compute Power: 13 TOPS (via Raspberry Pi AI HAT+)

• Camera Sensor: Sony IMX500 (12.3 Megapixel, Integrated AI Processor)

• Storage: 32GB MicroSD Card

• Thermal Solution: Variable-speed Active Cooler PWM fan

• Power Requirement: 5V / 5A (27W USB-C PD)

• Display Output: Dual 4K60 micro-HDMI outputs

Why Choose Virtual Pathshala?

At Virtual Pathshala, we assemble 100% genuine and official development hardware to ensure top-tier performance for engineering, university research, and commercial prototyping. Every kit is carefully selected to eliminate compatibility issues and provide a seamless learning and building experience.