The latest articles on Forem by Muhammed Tayar (@muhammed_tayar_f8991fb3a7). https://forem.com/muhammed_tayar_f8991fb3a7 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3544201%2F4f59d1be-f29d-492e-b834-046d5b67ab05.png https://forem.com/muhammed_tayar_f8991fb3a7 en Muhammed Tayar Fri, 03 Oct 2025 20:11:41 +0000 https://forem.com/muhammed_tayar_f8991fb3a7/synchronizing-rgb-lidar-tof-in-one-platform-temas-our-journey-from-ki-palooza-to-kickstarter-16e2 https://forem.com/muhammed_tayar_f8991fb3a7/synchronizing-rgb-lidar-tof-in-one-platform-temas-our-journey-from-ki-palooza-to-kickstarter-16e2 <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1cj79numrg4mniz7b6j7.jpeg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1cj79numrg4mniz7b6j7.jpeg" alt=" " width="800" height="1200"></a><br> Last week we had the chance to showcase our prototype <strong>TEMAS</strong> at KI Palooza – an AI-focused conference in Germany.<br><br> We’re a young company working at the intersection of <strong>robotics and computer vision</strong>, and this was the first time we presented TEMAS to a larger audience. </p> <h2> What is TEMAS? </h2> <p>TEMAS is a <strong>modular 3D sensor platform</strong> that combines: </p> <ul> <li> <strong>RGB camera</strong> </li> <li> <strong>LiDAR</strong> </li> <li> <strong>ToF (Time of Flight) sensor</strong> </li> </ul> <p>All sensors are <strong>pre-calibrated and synchronized</strong> so developers get reliable, aligned data right out of the box.<br><br> Powered by a <strong>Raspberry Pi 5</strong> (PoE, optional AI accelerator), TEMAS delivers: </p> <ul> <li>Colorized 3D point clouds </li> <li>Easy integration via Python SDK on PyPI (<code>pip install rubu</code>) </li> </ul> <h2> Why synchronization matters </h2> <p>Anyone who has tried to integrate multiple sensors knows: </p> <ul> <li>Different frame rates create time misalignments </li> <li>Calibration between depth and RGB can take weeks </li> <li>Data streams don’t just “fit” together </li> </ul> <p>This was one of our biggest challenges.<br><br> Our solution: </p> <ul> <li>Factory pre-calibration for sensor alignment </li> <li>Raspberry Pi 5 acting as a central sync unit </li> <li>Unified data stream → a single, aligned point cloud </li> </ul> <p>This saves labs and developers a huge amount of time. </p> <h2> Road to Kickstarter </h2> <p>After KI Palooza, we’re now officially on the <strong>Road <br> to Kickstarter: from Pre-Launch to Launch</strong>. </p> <p>And this is where we’d love your support: </p> <ul> <li>Feedback on use cases where you’d see TEMAS being most useful </li> <li>Ideas for reward tiers that would make sense for devs/researchers </li> <li>Tips from anyone who has been through a hardware Kickstarter before </li> </ul> <h2> Closing thoughts </h2> <p>We’re excited to share more of our journey here on DEV.<br><br> As a <strong>young company</strong>, this community means a lot to us – honest feedback from developers is exactly what we need to improve TEMAS and make the launch successful. </p> <p>*<em>From KI Palooza → to Kickstarter *</em> – thanks for being part of the journey! </p> <p><em>(More technical deep-dives coming soon – e.g. streaming point clouds and integrating with robotics.)</em></p> webdev ai robotics computervision