Vision for RPI5, Insight for You.
Elevate Your Raspberry Pi Experience with Intelligent Vision
Welcome to Arducam PiNSIGHT, where cutting-edge technology meets boundless creativity. PiNSIGHT is not just a camera; it’s your Vision AI Mate, meticulously designed for the Raspberry Pi 5. Unleash the power of intelligent vision with our seamlessly integrated camera modules and Luxonis OAK-SoM. Explore a world of possibilities as PiNSIGHT transforms your Raspberry Pi into a visionary powerhouse, seeing beyond the ordinary and redefining what’s possible.
1 Arducam PiNSIGHT + 1 Raspberry Pi 5 = Your AI Camera Hub
Unlock the true potential of your Raspberry Pi 5 with the dynamic duo of 1 Arducam PiNSIGHT and 1 Raspberry Pi 5. Together, they seamlessly merge into a powerful AI camera hub, expanding the capabilities of your Raspberry Pi to new horizons. PiNSIGHT isn’t just an accessory; it’s the missing piece that transforms your Raspberry Pi 5 into an intelligent vision powerhouse.
Seamless Deployment, Unmatched Ease
OpenVINO Integration – Access to a Neural Network Ecosystem
PiNSIGHT’s synergy with OpenVINO expands the horizons of neural network integration. This open-source, industrial-grade deployment software acts as a gateway to a vast repository of pre-trained models available in the Open Model Zoo. The global OpenCV competition further enriches PiNSIGHT’s capabilities, offering a multitude of open-sourced demo cases. With OpenVINO, PiNSIGHT users gain access to a diverse ecosystem of neural networks, simplifying the deployment of advanced AI capabilities without compromising on flexibility or functionality. Experience the power of PiNSIGHT – where deployment is seamless, and vision is empowered.
Hardware-Based Encoding
Where Clarity Meets Efficiency
Encoding: H.264, H.265, MJPEG – 4K/30FPS, 1080P/60FPS
Arducam PiNSIGHT not only transforms your Raspberry Pi 5 into a visionary powerhouse but does so with a unique advantage – hardware-based encoding by the embedded OAK-SoM. This innovative approach brings a multitude of benefits. With hardware encoding, PiNSIGHT ensures superior efficiency and performance, delivering faster video processing and reduced latency. Its power efficiency is a standout feature, optimized for lower power consumption, making it an ideal choice for applications with stringent power constraints. The dedicated hardware acceleration in PiNSIGHT not only guarantees consistent real-time performance but also facilitates parallel processing for simultaneous handling of multiple video streams.
PiNSIGHT: Where Vision Meets Simplicity, Style, Affordability, and Energy Efficiency
Arducam PiNSIGHT not only transforms your Raspberry Pi 5 into a visionary powerhouse but does so with simplicity, style, affordability, and power efficiency. From its easy adaption to the Raspberry Pi 5 to its cost-effectiveness as an AI camera solution and its sleek design, PiNSIGHT stands out as the go-to choice for those who demand excellence without compromise.
⚪ High Computing Power with Low Power Consumption
⚪ Easy Adaption and Assembly
⚪ Stylish Look and Shape
⚪ Cost-Effective AI Camera Solution
Discover Arducam PiNSIGHT’s sleek design and powerful vision capabilities in our demo video. See how PiNSIGHT transforms your Raspberry Pi 5 with seamless integration and stunning aesthetics. Experience intelligent vision redefined.
Evaluation Videos
PiNSIGHT AI Demonstrations
Experience the transformative capabilities of PiNSIGHT through a series of compelling AI demos. From real-time object detection to sophisticated recognition tasks, PiNSIGHT showcases its prowess in the realm of artificial intelligence.
COVID-19 Mask Detection
Face Recognition
Face Detection
Fatigue Detection
Fire Detection
Head Posture Detection
Pose Estimation Example
Anomaly Detection
Object Recognition
Gaze Estimation
Age & Gender Recognition
Blur Faces in Real Time
Arducam PiNSIGHT Supports the following neural networks
Pre-trained Models
We have compiled 7 categories of CV pre-training models, which can be used on Arducam PiNSIGHT. Click on the corresponding model to find the download link.
Explore PiNSIGHT – Annotated Product Structure
Dive into the core of Arducam PiNSIGHT with our annotated exploded view. This detailed 3D representation unveils the architecture and functionality of each component. Understand the synergy between the camera modules and Luxonis OAK-SoM, as we guide you through the key elements that make PiNSIGHT a visionary companion for your Raspberry Pi 5.
At the heart of PiNSIGHT’s capabilities are two integral components meticulously crafted to redefine possibilities. The Intel® Movidius™ Myriad™ X, a powerhouse in artificial intelligence processing, collaborates seamlessly with Arducam’s cutting-edge camera module. Together, they form the core hardware configuration that propels PiNSIGHT into the realm of unparalleled vision and intelligence. Explore the synergy of advanced AI processing and precision imaging that sets PiNSIGHT apart in the world of embedded vision solutions.
The Brains Behind PiNSIGHT – Intel® Movidius™ Myriad™ X
Meet the powerhouse of PiNSIGHT – the Intel® Movidius™ Myriad™ X. Packing 4TOPS in computing muscle, it reshapes embedded vision. This AI dynamo accelerates neural networks and OpenCV algorithms, setting PiNSIGHT on a trajectory of unparalleled intelligence.
Camera Modules for Arducam PiNSIGHT
Unlock precision imaging with the 12MP Sony Sensor Camera Module, a key player in PiNSIGHT’s visual excellence. Boasting a high resolution of 12MP, this module delivers a visual feast with remarkable clarity. Elevate your experience further as it captures moments in high frame rates, reaching up to 30fps at 4K.
The Inspiration Behind PiNSIGHT
The Raspberry Pi series, revered for its innovation and education focus, has ignited the passion of enthusiasts globally. Yet, the AI capabilities have often been a yearning for those who envision more. Encouraged by the vibrant Raspberry Pi community and the collective desire for enhanced AI functionality, PiNSIGHT emerges as our latest project, drawing inspiration from the shared hope to empower the Raspberry Pi 5. We aim to unlock untapped potential for AI applications, broadening its horizons beyond conventional educational purposes.
Community Voice
Alex, Software Engineer, Canada
“As a Raspberry Pi and Arducam enthusiast, I’ve always envisioned pushing the boundaries of what these platforms can achieve. The prospect of seamlessly integrating AI into my Raspberry Pi 5 would be a game-changer. It’s a dream that sparks the imagination and opens new doors for innovation.”
Emily, Graphic Designer, Australia
“Being passionate about both Raspberry Pi and Arducam, the dream of a product that bridges the gap to a world of AI possibilities is something I’ve long hoped for. It’s not just about a camera; it’s about a tool that aligns perfectly with our vision for creative development.”
Chris, IT Professional, United States
“Raspberry Pi and Arducam have been my go-to companions in tech exploration. The prospect of developments answering the call for more AI capabilities is truly exciting. It’s not just about a camera; it’s a promise fulfilled, and I can’t wait to see where this innovation takes us.”
A Salute to Brandon – A Friend, Innovator, and Visionary
Behind our recent project lies a poignant story. Brandon Gilles, the founder of Luxonis, was a visionary engineer dedicated to using technology to improve lives. His initial dream was to create an AI-powered device for bike enthusiasts, a dream that led to the development of OAK-D. Despite facing health challenges, Brandon’s contributions to computer vision and his selfless sharing of Long-COVID treatment methods left an enduring impact. The project stands not just as a product but as a tribute to a friend whose dream changed lives and a commitment to the spirit of innovation he embodied.
Pre-trained Models
Object Detection
- Face Detection (10)
- Person Detection (16)
- Person-Vehicle-Bike Detection (10)
- Vehicle Detection (8)
- Multiple Objects Detection (11)
Object Recognition
Segmentation
Pose Estimation
Image
Text
Classification
to use models in this sub-category, convert them to OpenVINO first, then to blob format.
