BWS Systems
Services
Machine Learning
At BWS Systems, we build machine learning systems that are meant to run in real products, not just in notebooks. Our work includes computer vision, video analytics, object detection, image classification, model packaging, edge inference, and review workflows that improve labeling quality and deployment confidence. We work with TensorFlow, PyTorch, YOLO, TFLite, and related tooling to move projects from training into reliable operation.
Computer Vision & Video Analytics
Object detection, image classification, and production-focused video analysis for monitored environments and edge devices.
Edge Model Deployment
Deployment of optimized inference workflows for embedded platforms, including TFLite and accelerator-backed edge systems.
Quality Review & Labeling Systems
Custom review pipelines for validating detections, improving labels, and measuring field accuracy across large image and video datasets.
End-to-End ML Lifecycle Management
From dataset preparation and model training through deployment, monitoring, and iteration, we support the full machine learning lifecycle.
Embedded Technology
We specialize in connected embedded platforms that combine firmware, Linux, networking, sensors, and device management. Our work includes embedded Linux systems, ESP32-S3 and ESP-IDF firmware, OTA updates, BLE and Wi-Fi connectivity, local web interfaces, cloud integration, and field-oriented service orchestration for production devices.
BWS Systems supports single board computers, edge AI hardware, and microcontroller platforms including Raspberry Pi, IMX, Intel NUC, Coral Dev Board, Espressif ESP32, STM32, and Nordic devices. We are especially strong in systems that need real sensor integration, structured diagnostics, robust update flows, and reliable operation outside the lab.
- Embedded Linux Systems: Purpose-built Linux environments for edge devices, gateways, and performance-sensitive products.
- Firmware & Connected Devices: ESP32 and microcontroller firmware with OTA, wireless connectivity, cloud messaging, and local control interfaces.
- Sensor & Power Integration: Practical integration of environmental, motion, and power-monitoring subsystems for real-world deployments.
- Edge AI Hardware: Deployment of accelerator-backed and vision-enabled embedded systems for inference close to the source of data.
Prototyping
From early concept through field-ready prototype, we build systems that combine electronics, firmware, mechanical fit, and testability. Our prototyping work is designed to reduce uncertainty early, validate architecture choices, and accelerate the path from idea to deployable product.
Circuit Design
Analog, digital, and mixed-signal circuit design for embedded products, sensor interfaces, and connected hardware platforms.
System Testing
Validation workflows that cover functional behavior, device integration, diagnostics, and repeatable testing during iteration.
PCB Design
Schematic capture, layout, and prototype board support for systems that need clean integration between hardware and firmware.
3D Printing & Mechanical Prototypes
Rapid mechanical prototyping to support enclosure fit, sensor placement, proof-of-concept builds, and iterative product refinement.