Edge AI Vision

Edge AI Vision Systems for Automotive and Consumer Applications

Edge AI: Transforming Vision at the Source

Edge AI is rapidly reshaping the automotive industry by enabling data to be processed directly at the source: within vehicles, on the factory floor, or at the point of capture. By processing data on site, rather than sending it to remote cloud servers, automotive manufacturers can achieve real-time monitoring and deliver immediate insights that drive faster, smarter decision making. This approach not only minimises cloud dependency and reduces transmission costs, but also enhances data privacy and security.

The Power of Computer Vision in Edge AI

Computer vision is at the heart of Edge AI, giving vehicles and manufacturing systems the ability to interpret and act on visual information in real time. In the automotive industry, computer vision powers advanced driver assistance systems (ADAS), supports autonomous driving, and enables predictive maintenance and quality control on the assembly line. By processing visual data locally, Edge AI can identify patterns, detect anomalies, and generate actionable insights that improve overall operational efficiency.

Real-Time Intelligence at the Edge: Smarter Cameras, Safer Systems

AI-powered vision is transforming how devices see and respond to the world — from smart doorbells and wearables to ADAS modules and driver monitoring systems. But to meet the demands of real-time processing, privacy, and bandwidth efficiency, computer vision must move from the cloud to the edge.

At Promwad, we design and integrate embedded AI vision systems that run inference locally, process video at low power, and deliver actionable insights without relying on remote servers. Real-time data processing enables instant analysis and response, critical for applications that require immediate feedback. These capabilities support real-time decision making in autonomous vehicles and safety systems, where rapid, localised processing is essential.

Our solutions demonstrate how different technologies work together, combining advanced hardware, AI algorithms, and robust software to deliver reliable and scalable edge AI vision systems. Our full-stack development spans from custom camera boards and image pipelines to deep learning models optimised for edge inference.

What We Offer

Hardware & Camera Subsystem Design

Custom camera modules (CSI, MIPI, USB, parallel)
ISP tuning and integration for image clarity and low-light performance
Multi-camera synchronisation for surround view or stereoscopic vision
Optics and enclosure design for harsh or compact environments
Support for vehicle design through advanced simulation and testing

Embedded AI Model Deployment

CNN/DNN model porting and optimisation (YOLO, MobileNet, etc.)
TensorRT, ONNX Runtime, OpenVINO, and TVM deployment pipelines
Model quantisation and pruning for real-time performance
Post-training calibration and device-specific acceleration (GPU/NPU)
AI model optimisation for efficient, real-time edge processing in automotive applications

Edge Platform Integration

NVIDIA Jetson (Nano, Xavier, Orin), NXP i.MX 8, Rockchip RK3588, Intel Movidius
Integration with Linux, Yocto, or Android-based platforms
Custom BSPs and hardware bring-up
Interface support: HDMI, Ethernet, CAN, GPIO, USB, SPI
Integration with vehicle systems for design optimisation and predictive maintenance

System Software & Application Layer

Real-time face, object, gesture, or lane detection
Frame capture, buffer handling, and multi-threaded pipelines
Event-based triggers, alerts, and telemetry
Secure local storage or encrypted transmission to cloud if required
Support for voice commands to enable in-vehicle interaction and personalisation
Threat detection using localised data processing for enhanced security

Applications We Enable

Mobility & Urban

Traffic analytics, scooter/bike safety systems

Smart Home

AI cameras, smart doorbells, motion detection

Retail & Access

Smart kiosks, facial recognition, people counting

Consumer Devices

Wearables, fitness tracking, mobile vision

Automotive

DMS (Driver Monitoring Systems) that analyse driver behaviour to personalise in-car experiences and improve safety, ADAS, blind spot detection with advanced systems enhancing safety, occupant detection with enhanced safety for all vehicle occupants

Advanced Driver Assistance Systems (ADAS) & Autonomous Driving

Automotive Manufacturing: Smarter Factories, Safer Workplaces

Why Promwad

We turn edge vision ideas into robust, scalable products.

Expertise in both camera electronics and embedded AI deployment

End-to-end development: from optics and boards to software and AI

In-house teams for BSP, vision algorithms, and NPU acceleration

Flexible models: turnkey projects or integration into your team

Proven experience in automotive, consumer, and smart city sectors

Under the Hood: AI Models and Algorithms for Vision at the Edge

The effectiveness of Edge AI in automotive applications depends on the power and efficiency of its underlying AI models and algorithms. Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), are trained on vast amounts of visual data to enable accurate object detection, tracking, and classification. These models are optimised for edge deployment, ensuring they can deliver real-time insights without overwhelming local hardware.

Machine learning algorithms, including decision trees and random forests, further enhance the ability of Edge AI systems to identify patterns and make predictions based on real-time data. By continuously refining these AI models, automotive manufacturers can achieve higher levels of safety, efficiency, and productivity. Whether it’s detecting obstacles on the road or monitoring driver behavior, advanced AI algorithms are the driving force behind the next generation of intelligent automotive vision systems.

Let's Build Your Intelligent Computer Vision System

Whether you're developing an in-vehicle DMS module, a smart retail sensor, or a battery-efficient camera with onboard AI — Promwad delivers the hardware, software, and AI integration you need to make it work.

Let’s bring intelligent vision to the edge — and your next product!

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