Ember builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.
Is robot camera reliability or degraded vision driving you nuts? Book a demo here or reach out to them here.
Founded by Shivani Mouleeswaran & Ritika Shrivastava -- they built software at Tesla Autopilot to optimize camera performance for autonomy. They’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - you could say they’re passionate about helping robots see!
The problem
They’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:
Robotics companies work on lean teams that have to do lots of things super fast - hardware reliability is often secondary to core product features
Camera failures cause large fires because they float up the stack to critically damage perception, controls, and safety
Digging through layers of software / hardware to figure out what went wrong is painful (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)
A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health. Support the full life-cycle of your robot with features like:
✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)
💬 Automated suggestions for error resolution
⏱️ Real-time alerts
🖌️ Image quality analysis tools to optimize computer vision
📈 Historical data analysis for predictive maintenance
Try it out: Plug-and-play camera testing
Bench-test cameras or diagnose issues in the field with one easy tool. Fill a config file, launch the service, and get fast metrics on camera health.
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