Fingerprint Sensor AS608 - A Beginner's Guide
One touch can replace keys. This project uses an optical fingerprint sensor to enroll users and then grant access with a quick scan.
read tutorial →The Raspberry Pi AI HAT+ 26 TOPS is a high-performance AI accelerator for Raspberry Pi 5. It is built around the Hailo-8 neural network processor and adds dedicated AI inference power for computer vision projects.
This HAT is made for users who need faster AI processing for object detection, pose estimation, image segmentation, high-frame-rate camera projects, and multi-model vision workloads. Instead of relying only on the Raspberry Pi 5 CPU, supported AI tasks can be offloaded to the Hailo NPU.
Note: Raspberry Pi 5 is not included. Camera module, power supply, microSD card, case, and active cooler are also sold separately unless stated in the package.
| Product Type | AI accelerator HAT for Raspberry Pi 5 |
|---|---|
| Model | Raspberry Pi AI HAT+ 26 TOPS |
| Accelerator Chip | Hailo-8 neural network processor |
| AI Performance | 26 TOPS inference performance |
| Host Board | Raspberry Pi 5 |
| Interface | PCIe Gen 3 through Raspberry Pi 5 HAT+ connection |
| Software Support | Integrated with Raspberry Pi OS camera software stack |
| HAT Standard | Conforms to Raspberry Pi HAT+ specification |
| Operating Temperature | 0°C to 50°C ambient |
| Best For | Computer vision, object detection, pose estimation, image segmentation, robotics, and edge AI |
Use this AI HAT+ with a Raspberry Pi 5 and an updated Raspberry Pi OS image. The board is designed to work through the Raspberry Pi 5 PCIe interface.
For camera-based AI projects, use a supported Raspberry Pi camera and install the required AI software, models, and dependencies. A Raspberry Pi Active Cooler is recommended for stable use during heavier workloads.
It is used to add AI acceleration to Raspberry Pi 5, mainly for computer vision tasks like object detection, image segmentation, and pose estimation.
No. This product includes the AI HAT+, stacking header, spacers, and screws. Raspberry Pi 5 is sold separately.
The 26 TOPS version uses the Hailo-8 neural network accelerator.
Yes, for heavier vision workloads. The 26 TOPS version can handle larger networks, faster inference, and multiple models at the same time.
This AI HAT+ is mainly for vision AI workloads. For local LLM and generative AI projects, use a board made for those tasks.
Manila stock. Order before 16:00 PHT, ships today via J&T or LBC. Provincial: 1–3 working days.
Schools / class POs: we accept Purchase Orders for accredited schools and universities. contact us with your PO details.
Returns: 7-day inspection window for DOA units. Email proof of issue and we ship a replacement.
One touch can replace keys. This project uses an optical fingerprint sensor to enroll users and then grant access with a quick scan.
read tutorial →Wire a joystick to your Arduino, read X/Y, then print UP / DOWN / LEFT / RIGHT to the serial monitor.
read tutorial →Bench-test a 43 A motor driver before wiring the full project. Catches weak power, mis-pinning, and dead boards before they cost you time.
read tutorial →Coming from UNO and the Pico won't show a COM port? Here's the BOOTSEL trick, the driver fix, and the first sketch that actually works.
read tutorial →Share what you built. Photos, BOM, what worked, what didn't.
view thread →Symptom + what you tried + clear photo = answers within hours.
view thread →Brownout reset when adding a sensor? Notes on supply decoupling and GPIO checks.
view thread →Upload failing on your first Uno? Driver, COM port, board match — checklist inside.
view thread →