Edge-Optimized Computer Vision for IoT & Embedded Systems
We build, optimize, and deploy computer vision models for Smart Home and Smart City devices.
Vision models engineered for hardware constraints
- We build computer vision for resource-constrained edge hardware, where milliwatts, thermal throttling, and kilobytes of RAM dictate system design.
- Because our core background is in PCB design, firmware, and embedded Linux/RTOS, we optimize the entire pipeline from camera sensor to image processing application.
- We quantize and prune neural networks to run natively on your target MCU or MPU without inflating your BOM cost.
- Experienced in a wide range of industrial vision sensors (e.g., Sony FCB-ER8530/EV9520L, Basler ace 2 R/acA1300-200um, and Stereolabs ZED X).
Case Study - OCR Water Meter
Read how we engineered custom low-power duty cycles, on-device AI inference, and open diagnostic layers on an ESP32-CAM stack. Dive into the full technical breakdown, including our exact hour estimates from a 48-hour POC to a custom-PCB MVP.
Additional resources for WizzDev computer vision expertise
Why WizzDev?
HARDWARE & SENSOR INTEGRATION
PCB design for image sensors, driver development, and hardware selection (NXP, STM32, ESP32, Raspberry Pi Compute Modules, NVIDIA Jetson).
FIRMWARE & EMBEDDED SYSTEMS
C/C++, Rust, RTOS, embedded Linux (Yocto/Buildroot) integration for handling video streams without memory leaks.
EDGE OPTIMIZATION & DEPLOYMENT
On-device model quantization (INT8/FP16) and pruning for memory- and power-constrained hardware using TFLite Micro, TensorRT, OpenVINO, and PyTorch Mobile.
CLOUD VISION PIPELINES
Matter protocol integration, secure MQTT streaming to AWS/Azure/GCP, OTA (Over-The-Air) updates for CV models in the field.
Talk to a Computer Vision architect
Andrzej Fenzel
Chief Technology Officer
I am CTO of WizzDev. I have been working in software development since 2003 — over two decades of hands-on experience in building software & hardware systems — and over a decade as an active entrepreneur.
I believe great products are built by engineers who continuously improve their craft. My focus is on growing engineers and creating a culture of excellence, where technology, architecture and product quality naturally follow.
My focus is on finding the right balance between engineering excellence and business value, leveraging modern technologies such as computer vision and IoT where they bring meaningful impact. I aim to help teams elevate their engineering practices, adopt sustainable coding standards, and build software that stands the test of time.
Trusted us
About WizzDev
WizzDev delivers specialized IoT engineering services, combining low-level firmware, hardware design, and cloud expertise to turn complex requirements into production-ready products. As AWS partners, we develop scalable, cloud-integrated architectures across the Smart Home, Smart City, and Medtech industries.
Our engineering team operates purely in CET, focusing on hardware optimization, predictable timelines, and clean IP handovers.
