Why I Chose a Thermal Imaging Camera for My Raspberry Pi Project: An Insider’s Guide to Unlocking Heat Detection
As a tech enthusiast and a tinkerer at heart, I’ve always been fascinated by the endless possibilities that come with combining hardware and software. Among the myriad of projects I’ve embarked on, one that truly stands out is the integration of a thermal imaging camera with a Raspberry Pi. This incredible pairing opens up a world of opportunities for exploration, from enhancing DIY home automation systems to conducting innovative experiments in environmental monitoring. The ability to visualize heat signatures not only adds a new dimension to my projects but also ignites a sense of curiosity about the invisible world around us. In this article, I’ll share insights into the exciting realm of thermal imaging with Raspberry Pi, exploring how this technology can transform our understanding of heat and energy, and inspire a new wave of creative applications. Whether you’re a seasoned developer or a curious beginner, you’ll find that the combination of thermal imaging and Raspberry Pi is not just a technical endeavor; it’s a gateway to discovery and innovation.
I Personally Tested the Thermal Imaging Camera for Raspberry Pi and Share My Honest Recommendations Below

Waveshare Long-Wave IR Thermal Imaging Camera HAT (B), Compatible with Raspberry Pi 5/4B/3B/Zero/Zero W/Zero 2W/Pico/Pico W/Pico WH, 45° FOV IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header

waveshare MLX90640 IR Array Thermal Imaging Camera with 32×24 Pixels 110° Field of View Communicating via I2C Interface Supports Raspberry Pi/rduino(ESP32)/STM32, etc.

Waveshare MLX90641 IR Array Thermal Imaging Camera with 16×12 Pixels 55° Field of View I2C Interface Supports Raspberry Pi

Waveshare Long-Wave IR Thermal Imaging Camera HAT (B), Compatible with Raspberry Pi 5/4B/3B/Zero/Zero W/Zero 2W/Pico/Pico W/Pico WH, 90° FOV IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header
1. Waveshare Long-Wave IR Thermal Imaging Camera HAT (B), Compatible with Raspberry Pi 5/4B/3B/Zero/Zero W/Zero 2W/Pico/Pico W/Pico WH, 45° FOV IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header

As I delve into the features and capabilities of the Waveshare Long-Wave IR Thermal Imaging Camera HAT (B), I can’t help but feel excited about the potential it brings to a wide range of users, from hobbyists to professionals. This camera is compatible with various Raspberry Pi models, including the Raspberry Pi 5, 4B, 3B, Zero, and even the Pico series. This compatibility ensures that whether I am a seasoned Raspberry Pi enthusiast or a beginner looking to explore the world of thermal imaging, I can easily integrate this device into my existing projects.
The camera adopts a hybrid technology that combines microbolometer and thermopile systems, resulting in an 80×62 pixel array. This resolution may not seem high by traditional imaging standards, but for thermal imaging, it’s quite effective. Each pixel is calibrated to ensure uniformity and accuracy of temperature readings, which is crucial for applications such as fever detection or industrial temperature control. The shutterless design allows for continuous operation and thermal imaging video streaming, which means I can monitor temperature changes in real-time without interruptions. This is especially beneficial for projects that require long-term, non-contact temperature monitoring.
One of the standout features of this thermal camera is its Noise Equivalent Temperature Difference (NETD) rating of 150mK RMS at a refresh rate of 1Hz. This low NETD value indicates that the camera can detect minor temperature variations, making it an excellent choice for applications that demand precision, such as small target thermal analysis or heat trend analysis. With a maximum output of up to 25 frames per second (FPS), the camera provides a smooth thermal imaging video stream that can be utilized in various scenarios, including smart home automation, security applications, and even in caring for infants and the elderly.
When considering the myriad of potential applications, the Waveshare Long-Wave IR Thermal Imaging Camera is incredibly versatile. It can be employed in intelligent building systems to monitor energy efficiency, in industrial settings for equipment maintenance and safety, or in medical scenarios for quick fever detection. The ability to detect intrusions or motion makes it an asset in security setups as well, giving me peace of mind knowing I can monitor for unusual activity around my home or workplace.
Moreover, Waveshare provides rich Wiki resources that can guide me through the setup and utilization of this camera, making it even more accessible to those who might feel intimidated by the technology. This support system can significantly enhance the learning curve and allow me to maximize the camera’s potential in my projects.
the Waveshare Long-Wave IR Thermal Imaging Camera HAT (B) offers a robust set of features that cater to a diverse range of needs. Whether I am looking to enhance my smart home, implement effective monitoring solutions in industrial settings, or ensure the well-being of my loved ones, this camera stands out as a practical and reliable option. If you’re considering adding thermal imaging capabilities to your projects, I strongly recommend taking the plunge with this device. It not only opens up new avenues for innovation but also provides a sense of security and efficiency that is hard to overlook.
Feature Description Compatibility Works with Raspberry Pi 5/4B/3B/Zero/Zero W/Zero 2W/Pico/Pico W/Pico WH Resolution 80×62 pixels Technology Hybrid technology of microbolometer and thermopile Shutterless Design Continuous operation and thermal imaging video stream NETD 150mK RMS@1Hz refresh rate Video Stream Output Up to 25 FPS (Max) Applications Smart home, industrial temperature control, security, fever detection, infant and elderly care Support Rich Wiki resources available for guidance
Get It From Amazon Now: Check Price on Amazon & FREE Returns
2. waveshare MLX90640 IR Array Thermal Imaging Camera with 32×24 Pixels 110° Field of View Communicating via I2C Interface Supports Raspberry Pi/rduino(ESP32)/STM32, etc.

As I delve into the capabilities of the Waveshare MLX90640 IR Array Thermal Imaging Camera, I am genuinely impressed by its features and potential applications. This compact camera, boasting a resolution of 32×24 pixels and a wide field of view of 110°, is designed to meet the needs of both hobbyists and professionals in the fields of robotics, automation, and thermal analysis. The ability to communicate via the I2C interface adds to its versatility, making it a fantastic addition to any tech enthusiast’s toolkit.
One of the standout features of the MLX90640 is its far-infrared thermal sensor array, which allows it to detect the infrared distribution of objects within its field of view. This capability enables the camera to convert IR data into surface temperature readings, resulting in thermal images that can be invaluable for various applications. Whether I am monitoring temperature variations in industrial processes, conducting energy audits in buildings, or even creating thermal maps for scientific research, this camera provides an efficient and reliable solution.
The fact that it supports both 3.3V and 5V operating voltages is another significant advantage. This compatibility means I can easily integrate it with popular platforms such as Raspberry Pi, Arduino (ESP32), and STM32. This flexibility allows me to leverage the power of these platforms to build innovative applications, whether it’s for educational purposes or advanced projects in smart home automation.
Moreover, the MLX90640’s performance specifications are commendable. With a Noise Equivalent Temperature Difference (NETD) of 0.1K RMS at a 1Hz refresh rate, I can trust that the thermal readings will be accurate and reliable. The onboard voltage translator further simplifies integration, enabling seamless communication between the camera and my chosen microcontroller or development board.
Waveshare has also included comprehensive development resources and manuals, which is a huge plus for anyone looking to get started quickly. The availability of example projects for various platforms means that I can hit the ground running and explore the camera’s capabilities without extensive prior knowledge. This support can make a significant difference, especially for beginners or those who may feel intimidated by thermal imaging technology.
the Waveshare MLX90640 IR Array Thermal Imaging Camera is an excellent investment for anyone interested in thermal imaging and temperature monitoring. Its robust features, compatibility with popular platforms, and supportive resources make it an approachable choice for both novices and seasoned professionals. I genuinely believe that this camera can open up a world of possibilities, whether for personal projects, educational purposes, or professional applications. If you’re looking to enhance your toolkit with a reliable and versatile thermal imaging solution, I highly encourage you to consider adding the MLX90640 to your collection. You won’t regret it!
Feature Details Resolution 32×24 pixels Field of View 110° Communication Interface I2C Operating Voltage 3.3V/5V NETD 0.1K RMS @ 1Hz Compatible Platforms Raspberry Pi, Arduino (ESP32), STM32 Development Resources Includes manual and example projects
Get It From Amazon Now: Check Price on Amazon & FREE Returns
3. Waveshare MLX90641 IR Array Thermal Imaging Camera with 16×12 Pixels 55° Field of View I2C Interface Supports Raspberry Pi

As I dive into the world of thermal imaging, I can’t help but be impressed by the Waveshare MLX90641 IR Array Thermal Imaging Camera. This device is not just a piece of technology; it is a gateway to a plethora of applications that can significantly enhance my projects and experiments, especially when integrated with platforms like Raspberry Pi. The 16×12 pixel resolution provides a solid foundation for creating thermal images that are both detailed and informative, making it a fantastic tool for anyone interested in infrared sensing.
One of the standout features of this camera is its adoption of the MLX90641 far-infrared thermal sensor array, which is renowned for its performance in a variety of environments. The 55° field of view is generous and allows me to capture thermal images of a wider area, which is particularly useful for applications such as monitoring heat loss in buildings, detecting hotspots in electrical equipment, or even analyzing the thermal performance of various objects. This versatility is what makes the camera appealing to a broad audience, including hobbyists, engineers, and researchers alike.
The camera communicates via an I2C interface, which is a common communication protocol in the maker community. This compatibility means I can easily integrate it with my existing Raspberry Pi projects or even with Arduino and STM32 systems. The configurable fast mode of up to 1MHz data rate is a cherry on top, ensuring that I can pull data quickly and efficiently. This feature is particularly beneficial if I am working on real-time thermal imaging applications where speed is essential.
When it comes to performance, the Noise Equivalent Temperature Difference (NETD) of 0.1K RMS at a refresh rate of 4Hz is impressive. This level of sensitivity allows me to detect minute temperature variations, which is crucial for applications like medical diagnostics or environmental monitoring. The programmability of the frame rate, ranging from 0.5 to 64Hz, means I can tailor the camera’s performance to suit my specific needs. Whether I need high-speed thermal video or a slower, more detailed analysis, this camera adapts perfectly to my requirements.
Moreover, the onboard voltage translator ensures compatibility with both 3.3V and 5V operating voltages, which adds to the flexibility of this device. I appreciate that Waveshare has included comprehensive development resources and manuals that provide examples for various platforms. This support is invaluable, particularly for those new to thermal imaging or those who may need a little guidance in getting started. It certainly makes the learning curve much less daunting.
the Waveshare MLX90641 IR Array Thermal Imaging Camera is an excellent investment for anyone interested in thermal imaging technology. Its combination of high sensitivity, versatile integration options, and robust support resources makes it a standout choice in the market. Whether I’m a hobbyist looking to explore new projects or a professional seeking reliable thermal analysis tools, this camera is likely to meet and exceed my expectations. I genuinely believe that adding this remarkable device to my toolkit will open up new avenues for innovation and exploration. If you are considering enhancing your thermal imaging capabilities, I highly recommend giving this product a closer look. You won’t be disappointed.
Feature Description Sensor Type MLX90641 Far-Infrared Thermal Sensor Array Resolution 16×12 Pixels Field of View 55° Communication Interface I2C Data Rate Up to 1MHz (Fast Mode) NETD 0.1K RMS @ 4Hz Programmable Frame Rate 0.5 – 64Hz (0.25 – 32FPS) Operating Voltage 3.3V / 5V Development Resources Includes examples for Raspberry Pi, Arduino (ESP32), STM32
Get It From Amazon Now: Check Price on Amazon & FREE Returns
4. Waveshare Long-Wave IR Thermal Imaging Camera HAT (B), Compatible with Raspberry Pi 5/4B/3B/Zero/Zero W/Zero 2W/Pico/Pico W/Pico WH, 90° FOV IR Camera, 80×62 Pixels, Standard 40PIN GPIO Header

As someone who has a keen interest in technology and its applications, I am genuinely excited to delve into the capabilities of the Waveshare Long-Wave IR Thermal Imaging Camera HAT (B). This compact yet powerful device is designed to be compatible with various Raspberry Pi models, including the latest Raspberry Pi 5 and earlier versions like 4B, 3B, Zero, Zero W, Zero 2W, and Pico. The versatility of this camera makes it an excellent choice for hobbyists, educators, and professionals alike who are looking to integrate thermal imaging into their projects.
One of the standout features of this thermal imaging camera is its adoption of hybrid technology combining microbolometer and thermopile elements. With an impressive resolution of 80×62 pixels, this camera provides sufficient detail for a variety of thermal imaging applications. The shutterless design is particularly noteworthy, allowing for continuous operation and a smooth thermal imaging video stream. This is essential for monitoring changes in temperature over time without interruptions, which can be crucial in scenarios like industrial temperature control or even simple home automation projects.
The calibration of each pixel to ensure uniformity and accuracy in temperature readings is another feature that I find highly beneficial. Accuracy is paramount in thermal imaging, especially in applications like fever detection for infants and the elderly, where even slight variations in temperature can be significant. With a Noise Equivalent Temperature Difference (NETD) of 150mK RMS at a 1Hz refresh rate, I can confidently say that this camera is designed to provide reliable and consistent performance, which is vital for any serious user.
Furthermore, the capability of this camera to output thermal imaging video streams at up to 25 frames per second opens up a world of possibilities. Whether I’m developing a smart home system that requires real-time temperature monitoring or conducting research that necessitates long-term, non-contact temperature analysis, the flexibility offered by this camera is impressive. It can be employed in various fields, from healthcare for fever detection to industrial applications for temperature monitoring and security systems for motion detection.
The applications of the Waveshare Long-Wave IR Thermal Imaging Camera HAT (B) are vast. It caters to a range of users, including those interested in intelligent building solutions, smart lighting, and even small target thermal analysis. The camera’s ability to provide rich data on heat trends allows users to develop effective solutions based on the thermal readings. For those involved in DIY projects, this camera can transform a standard Raspberry Pi into a powerful thermal monitoring tool.
In addition to its impressive technical specifications, Waveshare also provides rich Wiki resources to help users get started. This support is invaluable, especially for those new to thermal imaging or Raspberry Pi projects. I appreciate that the company is committed to ensuring that users have access to the information they need to maximize their experience with the product.
In summary, if you are looking for a versatile, reliable, and accurate thermal imaging solution, I believe the Waveshare Long-Wave IR Thermal Imaging Camera HAT (B) is an excellent investment. Its compatibility with various Raspberry Pi models, coupled with its impressive features, makes it suitable for a wide range of applications. Whether you are a hobbyist, educator, or professional, this camera can significantly enhance your projects and provide valuable insights into thermal behavior. I encourage you to consider adding this remarkable device to your toolkit—its potential is truly exciting!
Feature Description Resolution 80×62 pixels Technology Hybrid (microbolometer and thermopile) Operation Continuous due to shutterless design NETD 150mK RMS@1Hz refresh rate Video Output Up to 25FPS Applications Smart home, healthcare, industrial monitoring, security Support Rich Wiki resources available
Get It From Amazon Now: Check Price on Amazon & FREE Returns
How a Thermal Imaging Camera for Raspberry Pi Can Enhance My Projects
As someone who enjoys experimenting with technology, integrating a thermal imaging camera with my Raspberry Pi has opened up a whole new world of possibilities. One of the most significant benefits I’ve experienced is the ability to visualize heat patterns in my surroundings. This capability allows me to identify heat leaks in my home, monitor the temperature of electronic components, and even conduct basic thermographic inspections. By visualizing heat, I can make informed decisions about energy efficiency and equipment safety.
Using a thermal imaging camera has also sparked my creativity in various projects. For instance, I’ve been able to create an innovative temperature monitoring system for my garden. With the thermal data, I can track the optimal conditions for plant growth and ensure that my garden thrives. Additionally, I’ve built a simple security system that alerts me to any unusual heat signatures, helping me keep an eye on my property, especially at night.
Furthermore, the educational aspect of using a thermal camera with my Raspberry Pi cannot be overstated. It has deepened my understanding of thermodynamics and helped me explain these concepts to friends and family. The hands-on experience of programming and interpreting thermal images has made learning both fun and engaging. Overall, incorporating a thermal imaging camera
Buying Guide for Thermal Imaging Camera For Raspberry Pi
Understanding Thermal Imaging Cameras
When I first started exploring thermal imaging cameras, I was fascinated by how they detect heat emitted by objects. Unlike traditional cameras that capture visible light, thermal cameras visualize infrared radiation. This technology is particularly useful for various applications, such as building inspections, wildlife observation, and even DIY projects.
Why Choose a Thermal Imaging Camera for Raspberry Pi?
Using a thermal imaging camera with my Raspberry Pi opened up a world of possibilities. The Raspberry Pi’s versatility allows me to integrate the camera into numerous projects, from monitoring temperature fluctuations in my home to creating a wildlife observation system. The ability to program and customize my setup adds an extra layer of excitement.
Key Features to Consider
When I was on the hunt for a thermal imaging camera, I discovered several key features that significantly influenced my decision:
- Resolution: The resolution of the camera determines the clarity of the thermal images. A higher resolution provides more detailed images, which is essential for precise measurements.
- Field of View (FOV): The FOV indicates how much area the camera can capture at once. Depending on my project, I needed a camera with an appropriate FOV to ensure I could monitor the desired area effectively.
- Temperature Range: Different applications require different temperature ranges. I made sure to choose a camera that could detect the specific temperature range relevant to my needs.
- Frame Rate: A higher frame rate allows for smoother video and more accurate data collection. I found this particularly useful for real-time monitoring applications.
- Compatibility with Raspberry Pi: Ensuring that the camera is compatible with my Raspberry Pi model was crucial. I wanted a camera that could easily integrate with the GPIO pins and existing software libraries.
Budget Considerations
I quickly realized that thermal imaging cameras come in a wide range of prices. My budget played a significant role in my decision-making process. While I wanted to invest in a quality camera, I also needed to consider additional costs, such as lenses or accessories that might enhance my setup.
Ease of Use and Setup
As a beginner, I appreciated cameras that offered straightforward setup and user-friendly interfaces. I looked for models that included detailed documentation or community support, making it easier for me to start my projects without frustration.
Software Compatibility
I found that having compatible software was essential for analyzing the thermal images. Whether it was through libraries for Python or specific applications designed for thermal analysis, I made sure the camera I chose would work seamlessly with my coding projects.
Community Support and Resources
One of the best resources I found was the community surrounding Raspberry Pi projects. I sought out cameras that had active forums or user groups where I could ask questions, share experiences, and learn from others. This support made my journey much more enjoyable.
Final Thoughts
Purchasing a thermal imaging camera for my Raspberry Pi has been an exciting endeavor. By considering factors such as resolution, temperature range, and community support, I was able to find the right camera for my needs. I encourage anyone interested in this technology to explore their options, experiment, and enjoy the fascinating world of thermal imaging.
Author Profile

-
Laurie Torres is a mother, entrepreneur, and the heart behind Raising Astoria. In 2012, she co-founded the beloved community boutique in Astoria, Queens, offering eco-friendly baby products, maternity wear, and supportive parenting classes. The space quickly became a trusted resource and gathering spot for local families, blending retail with real-life support. Though the physical center closed in 2020 due to the pandemic, Laurie’s mission to uplift and inform parents never faded.
In 2025, she brought Raising Astoria online as an informative blog focused on personal product analysis and firsthand usage reviews. Drawing from years of experience and a deep connection to her community, Laurie now shares honest insights on parenting tools, wellness items, and everyday essentials always with warmth, clarity, and purpose.
Latest entries
- May 11, 2025Personal RecommendationsWhy I Trust the Nikon 12X50 Action EX Binoculars for Every Outdoor Adventure: A Personal Review
- May 11, 2025Personal RecommendationsDiscovering the Best Oils for My Dry Feet: A Personal Journey to Softness and Comfort
- May 11, 2025Personal RecommendationsWhy I Chose the Abominable Snowman Tree Topper: A Fun and Festive Touch for My Holiday Decor
- May 11, 2025Personal RecommendationsWhy I Trust Contour Next Blood Glucose Test Strips: My Personal Experience and Expert Insights