Latest / Hardware Startups with Fexingo: Devices, Robotics, and Manufacturing Tech Companies / How Hardware Startups Use Thermal Imaging to Prevent Field Failures
Transcript
- Lucas: Let me paint you a picture. It's 2 AM in a hardware startup's lab. The founder has been running a 72-hour burn-in test on a new smart lock, and she notices a hot spot on the PCB — a voltage regulator that's sitting at 85 degrees Celsius when it should be at 60. Luna: And that's not just a thermal issue — that's a field-failure waiting to happen. Lucas: Exactly. And the only reason she caught it? She had a three-hundred-dollar thermal camera attached to her phone. That's the episode today. We're talking about how hardware startups are using thermal imaging to catch failures before they ever reach a customer. Luna: It feels like one of those tools that's become dramatically more accessible in the last few years. I remember when a basic FLIR module cost thousands. Lucas: Right. And the cost has collapsed. You can get a decent thermal camera add-on for your smartphone for under four hundred dollars. But the real shift is that startups are now treating thermal imaging as a standard part of the development process, not just something you do if you have a thermal engineer on staff. Luna: So where does it fit in the typical product cycle? Are we talking early prototyping, or later during validation? Lucas: Both, but the biggest payoff is during the design-validation phase — after you have a functional prototype but before you commit to tooling. That's where you catch issues like a component that's placed too close to a heat source, or a power rail that's drawing more current than expected. Thermal imaging gives you a real-time heat map of the entire board. Luna: And that can flag problems that a multimeter might miss. Lucas: Totally. A multimeter tells you voltage and current at a point. Thermal imaging tells you the spatial distribution of heat. If you have a voltage regulator that's hot but still within spec electrically, you might not catch it with a probe. But the thermal camera shows you it's running at 85 degrees when the datasheet says max operating temperature is 85 — you have zero margin. That's a recall waiting to happen. Luna: Let's talk about that smart lock startup. What happened after they caught the hot regulator? Lucas: They redesigned the layout — moved the regulator further from a nearby capacitor and added a small heatsink. The fix cost them about two weeks and a few hundred dollars in prototype spins. Without the thermal camera, they would have shipped thousands of units that would have started failing after six months in direct sunlight on a front door. Luna: And the cost of a field failure at that scale? Lucas: They estimated a recall would have been around five hundred thousand dollars, plus reputational damage. So for a three-hundred-dollar camera, that's an incredible return on investment. Luna: What about the other end of the spectrum — startups that are building more complex hardware, like a drone or a robot? Lucas: Those teams often need higher-end gear. A FLIR A-series or a thermal camera with a higher resolution and frame rate can run a few thousand dollars. But even then, it's a fraction of the cost of a single field failure. I've seen robotics startups use thermal imaging to identify motor controllers overheating under load, which let them tweak the firmware to reduce current spikes. Luna: So it's not just about hardware layout — it's also about software tuning. Lucas: Exactly. Thermal data gives you a feedback loop for firmware optimization. If a certain operation causes a hot spot, you can adjust the duty cycle or add a cooldown period. That's something you can't see with an oscilloscope. Luna: Are there any common mistakes you see startups make when they first start using thermal cameras? Lucas: Yeah, a few. First, they don't calibrate for emissivity. Different materials — like bare copper versus black plastic — emit infrared differently, so you need to set the right emissivity value or use masking tape as a reference. Second, they only take a single snapshot at steady state. But thermal behavior changes over time, especially during power-up or when a load kicks in. Luna: So you want video, not just stills. Lucas: Right. Record a thermal video during the full test cycle. You might see a component that heats up slowly over an hour, which a quick photo at the ten-minute mark would miss. And third, they don't cross-reference with current measurements. A hot component could mean high current, but it could also mean poor thermal contact with the PCB. You need both data sets. Luna: Let's talk about the investor angle. I've heard that some VCs are now asking for thermal test data during due diligence. Lucas: That's becoming more common, especially for hardware-focused funds. If you're building a medical device or an outdoor IoT sensor, investors want to see that you've done thorough thermal characterization. It's a signal that you understand the risks of field failure. One VC told me they ask for thermal images of the PCB under max load as part of their technical checklist. Luna: That makes sense. It's a relatively cheap way to de-risk the hardware. Lucas: And it's a differentiator. Most early-stage hardware startups skip this step. The ones that do it show a level of engineering rigor that sets them apart. It also helps with contract manufacturers — they want to see that the design is thermally sound before they commit to high-volume production. Luna: Are there any tools or workflows you'd recommend for a startup just getting started? Lucas: Start simple. Get a FLIR One Pro or a Seek Thermal Compact — both under five hundred dollars and work with your phone. Use it during every prototype iteration. Pair it with a thermocouple logger for spot measurements. And build a simple test fixture that lets you run a load profile while recording thermal video. Free tools like FLIR Tools or ThermaCAM Reporter can help you analyze the data. Luna: What about integrating thermal imaging into automated testing? Lucas: That's the next level. Some startups are building test racks with a fixed thermal camera that captures images at set intervals during a burn-in or environmental chamber test. You can set thresholds — if any pixel exceeds 85 degrees, flag the unit as a failure. It's not that hard to automate with Python and OpenCV. Luna: And that becomes part of your manufacturing quality control as well. Lucas: Exactly. If you catch a thermal anomaly during production testing, you can pull that unit and investigate before it ships. It's the same principle as a functional test, but for heat. Luna: So to wrap it up, thermal imaging is no longer a luxury for hardware startups — it's an essential tool that can save you from catastrophic field failures. Lucas: And it's affordable and accessible. If you're building hardware, get a thermal camera this week. Run it on your next prototype. You might be surprised what you find. Luna: We keep this show ad-free because we believe these conversations are valuable for founders and builders like you. If you want to support that, you can find us at buy me a coffee dot com slash fexingo. Lucas: It's a small gesture that helps us keep the lights on and the content free for everyone. Luna: Yeah, that support makes a real difference. Lucas: Alright, back to thermal imaging. One more thought: The startups that use thermal imaging early also tend to build better documentation. When you have a library of thermal images from each revision, you can show investors and manufacturers how the design evolved. Luna: And that's a story of engineering discipline that speaks volumes. Lucas: So if you're in a hardware lab right now, grab a thermal camera. Run a burn-in. And if you see a hot spot, don't ignore it. That's your product trying to tell you something.