Division 01
Computer Vision / ML / DL
Neo Forge Technology develops intelligent systems capable of understanding images, video and complex data — from the first labelled dataset to a model running reliably on a production camera or edge device.
Step 01
Video
Step 02
AI Model
Step 03
Detection
Step 04
Analytics
Areas of work
Computer Vision / AI sub-categories
Computer Vision
Systems that understand images and video: recognition, measurement and scene understanding.
Object Detection
Locating and classifying objects in images and live video with trained detection models.
Tracking
Following people, vehicles and products across frames for counting, flow and behaviour analysis.
Video Analytics
Turning camera streams into events, metrics and dashboards in real time.
OCR
Reading text, numbers and documents from images, labels, plates and scans.
AI Inspection
Automated visual quality inspection that finds defects faster and more consistently.
Edge AI
Optimised models running on-device (Jetson and embedded hardware) with low latency.
Machine Learning
Predictive models, anomaly detection and custom ML pipelines built on your data.
Deep Learning
Custom neural networks: training, optimisation and production deployment.
Capabilities
Systems that understand images, video and complex data.
Computer Vision12
- Object Detection
- Object Tracking
- Image Recognition
- Video Analytics
- OCR
- Image Processing
- Video Processing
- Segmentation
- Pose Estimation
- Visual Inspection
- Face Detection
- Feature Extraction
Machine Learning6
- Classification
- Regression
- Predictive Models
- Anomaly Detection
- Recommendation Systems
- Custom ML Pipelines
Deep Learning7
- Neural Networks
- CNNs
- Transformers
- Vision Models
- Custom Model Training
- Model Optimization
- Model Deployment
AI6
- AI Applications
- AI APIs
- AI Agents
- Intelligent Automation
- Generative AI Integrations
- AI-powered Analytics
Edge AI5
- On-device inference
- Real-time video pipelines
- GPU acceleration
- Model quantization
- Embedded deployment
Relevant technologies
- NVIDIA Jetson
- TensorRT
- DeepStream
- CUDA
- OpenCV
- PyTorch
- TensorFlow
- ONNX
- MediaPipe
- YOLO
Shown as relevant technologies — each project uses the subset that suits the problem.
Portfolio
Recent Computer Vision / AI work
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