Computer Vision Applications

Create AI models that can interpret and process images or video to recognise faces, objects, activities, or defects.

Overview

GullySystem delivers custom computer vision solutions that use AI to interpret visual data. From cameras to images, we help systems see, detect, and decide.
Whether its quality checks, people tracking, or facial recognition—our models analyse frames in real time for better automation and business intelligence.

Benefits

Object Detection & Counting

Detect and count objects in images or video frames to automate audits, manage stock, or track manufacturing accuracy.

Facial Recognition & Verification

Authenticate users or log attendance with secure, real-time facial recognition using AI models trained on facial features.

Defect Detection

Spot cracks, dents, misalignments, or other quality issues in production lines automatically using vision-based inspection.

Activity Recognition

Identify human actions such as walking, sitting, or falling in surveillance footage for safety and behavioral monitoring.

OCR & Text Extraction

Read and extract text from documents, number plates, screens, or signs using Optical Character Recognition pipelines.

Visual Search

Let users upload an image to find similar products or match visuals using AI-powered reverse image search algorithms.

Our Computer Vision Process

Problem Scoping

Define your use case—object detection, tracking, OCR, or classification—and choose image or video as the input type.

Dataset Creation

Collect and label a custom dataset using real-world photos or frames to ensure training relevance and accuracy.

Model Training

Use deep learning models like YOLO, Faster R-CNN, or Vision Transformers to train AI for recognition, detection, or segmentation.

Model Optimisation

Apply quantisation, pruning, or edge inference tuning to run models faster and lighter on your preferred devices.

Deployment & Monitoring

Integrate models into mobile apps, CCTV systems, web platforms, or edge devices with API access and performance tracking.

Technologies & Tools We Use

Vision Frameworks

OpenCV, PyTorch, TensorFlow, Detectron2, and Ultralytics YOLOv8 for custom training and real-time vision inference.

Model Types

Use CNNs, YOLO, SSD, R-CNN, and Vision Transformers depending on the task—detection, classification, OCR, or segmentation.

Image Pipelines

Process images using Pillow, Albumentations, or cv2 for resizing, annotation, augmentation, and normalisation.

Video Stream Processing

Handle live feeds via RTSP, ONVIF, or IP cameras with frame-by-frame inference and alert generation capabilities.

Deployment Targets

Run models on mobile apps, web dashboards, Raspberry Pi, Nvidia Jetson, or cloud APIs using Dockerised services.

Annotation Tools

Use CVAT, Label Studio, or Roboflow for fast and accurate image annotation, labeling, and dataset preparation.

Why Choose Us

Custom-Built Vision Models

We train models on your specific data—no reliance on generic datasets that may not reflect your business environment.

Edge-to-Cloud Capabilities

Our solutions work on devices with limited compute or cloud platforms—ensuring flexibility and real-time performance.

Fast & Lightweight Deployment

Optimised models ensure fast inference even on low-power devices without compromising detection accuracy or speed.

Integrated Alerts & Actions

Connect vision results to real-time alerts, dashboards, or automation systems for immediate business impact.

Secure Visual Processing

Your video and image data is encrypted, never stored unless needed, and processed under compliant data handling policies.

Rapid Prototyping & Results

We quickly deliver working prototypes and iterate based on results—cutting your time-to-value in computer vision deployment.

Use Cases

Smart Surveillance

Detect intrusions, loitering, or safety violations in real time and trigger alerts to security teams automatically.

Manufacturing QA

Identify defective parts or packaging errors using image-based quality control systems on production lines.

Retail Shelf Monitoring

Track stock levels, misplaced items, or planogram compliance in retail stores using CCTV camera streams.

License Plate Recognition

Automatically read vehicle number plates at gates or toll booths for access control and tracking.

Document Digitisation

Convert printed forms, IDs, or invoices into structured digital records using OCR and layout detection.

Healthcare Imaging

Assist in diagnostics by analysing scans or medical images for anomalies, segmentation, or classification.

FAQs

We can start with existing models and fine-tune on smaller, labeled datasets to meet your accuracy requirements efficiently.

Yes. We deploy vision models on local devices or edge systems for environments where internet connectivity is limited.

We benchmark models using precision/recall and optimise them based on real-world performance feedback from your setup.

Yes. We provide visualisations, annotation tools, and dashboards so your team can review, correct, and train the models.

Our models run on web, mobile, embedded boards like Jetson Nano, or cloud infrastructure depending on your setup.

Turn cameras into smart decision-makers.

Build real-time computer vision solutions with GullySystem for detection, automation, and visual intelligence.

Build Vision AI Solutions