From embedded firmware and 3D manufacturing to patent-pending image codecs and neural reconstruction.
Patent-pending architecture. Each layer is independently deployable. The full pipeline captures, compresses, and reconstructs images across a LoRa radio link.
ML-gated 2-DOF pan/tilt ESP32-CAM robot. On-device inference filters frames before transmission. Only high-confidence detections enter the codec pipeline.
7-stage CPU codec: linear encoding → AES-256-GCM → FEC → LoRa radio. 124.5:1 binary compression. Recovers frames under packet loss conditions.
CPU quality validation feeds a GPU generative reconstruction network. Restores full-fidelity images from compressed LoRa transmissions via autoencoder.
The reconstruction network learns a compressed latent representation. The encoder maps degraded frames to a bottleneck; the decoder restores full fidelity.
Research-grade hardware and software. Available for licensing, collaboration, and sub-award research partnerships. All technical documentation on GitHub.
Open-source ESP32-CAM pan/tilt robot. ML inference on-device. MJPEG stream compatible with any Python/OpenCV host. PETG 3D-printable enclosure. 10 STL files included.
View on GitHubCPU-side 7-stage image codec. AES-256-GCM encryption. FEC error recovery. LoRa radio integration. 124.5:1 binary compression. 42.6 dB PSNR. Provisional patent filed Oct 2026.
View on GitHubEnd-to-end visual intelligence platform. CVisionBot capture → CACADU compression → CNN reconstruction. NSF SBIR Phase I applicant. TRL 4 — validated in laboratory.
TechConnect 2026 →Custom enclosures, brackets, and product housings for embedded electronics. CAD-to-part via Fusion 360 and SolidWorks. FDM and resin. PETG, PLA, and ABS material options.
Request a Quote →Low-volume silicone molds and urethane casts for custom parts and prototypes. Suitable for STEM kits, sensor housings, and embedded device enclosures requiring irregular geometry.
Request a Quote →You own the design. Hoodtronics builds it. We manufacture embedded devices to your specification — firmware, PCB, enclosure — and transfer full IP. No licensing. No royalties. Your product.
Start a Project →ESP32-CAM robot — MJPEG stream with 2-DOF pan/tilt control over LAN. Enter your device IP below to connect.
Every frame passes through seven deterministic CPU stages before LoRa transmission. No GPU required — the entire codec runs on embedded ARM.
CACADU transmits compressed frames over LoRa 915 MHz. The chirp spread-spectrum waveform survives low SNR and long range. Calibration sets spreading factor, bandwidth, and coding rate.
Hoodtronics research is verified, protected, and recognized at the federal and industry level.
Submitted to the National Science Foundation Small Business Innovation Research program. UEI: Z3TLHYQ1QMT3. Active SAM.gov registration. Funding targets ImageGenAI commercialization.
ImageGenAI accepted to TechConnect World Innovation Conference 2026, Raleigh, NC — March 10–12, 2026. Technology Readiness Level 4. Primary: AI & Digital Transformation.
Provisional patent filed October 3, 2026 covering the CACADU codec and ImageGenAI visual intelligence pipeline. Non-provisional filing due before October 3, 2027.
Hoodtron is our research manufacturing mascot. Built in the lab, hood up, soldering iron in hand — representing the hands-on work behind every Hoodtronics system.
Every board we fabricate, every enclosure we print, every firmware line we flash — that's Hoodtron at work. Research manufacturing isn't a tagline. It's what we do every day.
Hoodtronics is a research manufacturing company. We design, build, and commercialize embedded AI systems — and deliver AI solutions to clients through HoodtronEI. Our work spans embedded firmware, machine learning, 3D printing, and PCB fabrication.
As part of our long-term community mission, Hoodtronics commits 10% of future sales toward placing 100 AI Vision Bots in children's STEM programs by August 2026.
Founded 2020. Two of four designed products commercialized. Continuous R&D output across embedded AI and vision systems.
3D Printing Services. Custom enclosures, brackets, and STEM product housings. We design and fabricate parts optimized for embedded electronics using CAD and additive manufacturing.
AI Solutions via HoodtronEI. Credentialed access to our codec API, CNN model weights, and LoRa telemetry stack. Built for AI protocol engineers. Adversarial cloud server platform coming soon.
Federal Research Pipeline. Active SAM.gov registration, NSF SBIR Phase I application, and Research.gov enrollment under UEI Z3TLHYQ1QMT3.
University & Lab Partnerships. Open to sub-award research collaborations and federal co-PI arrangements. Contact us to discuss scope.
Effective Date: November 1, 2026 | Hoodtronics LLC, Indianapolis, IN
We collect only the information you voluntarily provide. This includes your name and email address when you submit a contact or access request form. We do not use tracking pixels, behavioral analytics, or third-party ad networks on this site.
Contact information is used solely to respond to your inquiry or to evaluate a research collaboration or licensing request. We do not sell, rent, or share your personal data with any third party for marketing purposes.
The HoodtronEI Engineering Survey collects de-identified workflow and prompt-engineering responses for academic research purposes. No personally identifiable information is published in research outputs. Survey participation is voluntary and participants may withdraw at any time.
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All content on this site — including the CACADU codec architecture, LoRa-ImageGenAI pipeline, and associated firmware — is proprietary to Hoodtronics LLC and protected by a USPTO provisional patent filed October 3, 2026. Unauthorized reproduction or reverse engineering is prohibited.
Contact inquiry emails are retained for up to 24 months for correspondence records. You may request deletion of your data at any time by emailing trueverbals@hoodtronics.com.
Questions about this policy may be directed to:
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3410 N High School Rd, Suite G, Indianapolis, IN
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We are seeking university partners, federal lab collaborators, and licensing inquiries for the ImageGenAI platform.
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