Computer Vision Services
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Transform images, video streams, and visual data into actionable intelligence using advanced AI-powered Computer Vision solutions.
Our services span the full Computer Vision pipeline — from data collection and model training to edge deployment and real-time monitoring — engineered for production-grade reliability.
Image & Video Analysis
- Image classification and multi-label recognition
- Object detection and real-time tracking
- Semantic and instance image segmentation
- Video analytics and temporal event detection
- Anomaly detection in visual streams
Edge & Embedded Vision AI
- Model optimization for NVIDIA Jetson and TensorRT
- CUDA-accelerated inference pipelines
- ONNX model conversion and deployment
- Low-latency real-time vision on edge devices
- Power-efficient embedded AI architectures
OCR & Document Intelligence
- Optical character recognition for printed and handwritten text
- Form extraction and structured data parsing
- Invoice and receipt processing automation
- Document classification and archiving workflows
- Multi-language and multi-format document support
Quality Inspection & Defect Detection
- Automated visual quality control on production lines
- Surface defect and anomaly detection
- Dimensional measurement and tolerance checking
- Reject classification and root-cause analysis
- Integration with MES and SCADA systems
We bring full-stack Computer Vision expertise — spanning core algorithms, deep learning frameworks, edge runtime, and cloud platforms — to deliver scalable, production-ready solutions.
Image Classification
- CNN-based classification with TensorFlow and PyTorch
- Transfer learning with pre-trained backbone networks
- Multi-label and hierarchical classification
- Fine-tuning for domain-specific datasets
Object Detection & Tracking
- YOLO-family real-time object detection models
- Multi-object tracking with SORT, DeepSORT, ByteTrack
- Custom dataset training and augmentation pipelines
- Anchor-free and transformer-based detectors
Image Segmentation
- Semantic segmentation with DeepLab, SegFormer
- Instance segmentation using Mask R-CNN and SAM
- Panoptic segmentation for scene understanding
- Real-time segmentation on edge hardware
Facial Recognition
- Face detection, alignment, and landmark estimation
- Recognition and verification with ArcFace, FaceNet
- Liveness detection and anti-spoofing
- Privacy-aware deployment with edge processing
Video Analytics
- Real-time stream processing with OpenCV and GStreamer
- Activity recognition and action detection
- People counting and crowd analysis
- Event-based alerting and rule engine integration
Edge Vision AI
- NVIDIA Jetson platform deployment and optimization
- TensorRT quantization: FP32, FP16, INT8
- ONNX Runtime for cross-platform inference
- CUDA kernel optimization for throughput
Additional Capabilities
Stereo vision and depth estimation • 3D point cloud processing • Thermal and IR image analysis • Model explainability (Grad-CAM, SHAP) • MLOps pipelines for continuous model retraining and monitoring
From automotive safety to retail intelligence, our Computer Vision solutions address real-world challenges across diverse industries with proven, deployable AI.
Industrial Quality Inspection
- Automated defect detection on production lines
- Manufacturing quality control at scale
- Surface finish and dimensional verification
- Reject sorting and classification
- Integration with existing MES infrastructure
ADAS & Automotive Vision
- Lane detection and road marking recognition
- Driver monitoring and fatigue detection
- Pedestrian and vehicle object recognition
- Surround-view perception and fusion
- Parking assist and low-speed maneuvering
Smart Surveillance
- Real-time monitoring and intrusion detection
- Security analytics and alert generation
- License plate recognition (LPR/ANPR)
- Crowd density and behavioral analysis
- Integration with existing VMS platforms
Document Intelligence
- OCR for printed and handwritten documents
- Form and invoice data extraction
- Document classification and routing
- End-to-end document automation workflows
- ERP and CRM system integration
Retail Analytics
- Customer behavior and traffic analysis
- People counting and heatmap generation
- Shelf monitoring and out-of-stock detection
- Queue management and dwell-time analytics
- Planogram compliance verification
Medical Imaging
- AI-assisted radiology image analysis
- Pathology slide classification and grading
- Anomaly detection in CT, MRI, and X-ray scans
- Diagnostic support and report generation
- DICOM-compliant processing pipelines
Our delivery process is designed for accuracy, reproducibility, and production readiness — from raw data to deployed model with continuous improvement built in.
Data Collection
Define data requirements, gather image and video datasets from target environments, and establish quality and diversity criteria.
Data Annotation
Perform precise labeling — bounding boxes, polygons, keypoints, and semantic masks — using industry-grade annotation tools and quality review processes.
Model Training
Train domain-specific models using transfer learning and custom architectures, with rigorous hyperparameter tuning and experiment tracking.
Validation & Testing
Evaluate model performance on held-out test sets, conduct edge-case analysis, and validate real-world accuracy on target hardware.
Deployment
Optimize and deploy models to cloud, on-premise, or edge platforms — containerized and production-hardened with CI/CD integration.
Continuous Improvement
Monitor inference performance and data drift, retrain models on new data, and iterate to maintain accuracy in evolving production conditions.
Three core strengths that make IAST the right partner for your Computer Vision program.
Production AI & MLOps Deployment
Full lifecycle ownership — from custom industrial model training to MLOps pipelines, continuous model monitoring, automated retraining, and scalable cloud/edge inference.
Edge AI & Hardware Acceleration
Hardware-aware model optimization using NVIDIA TensorRT, CUDA, ONNX, and Jetson accelerators — achieving high-throughput, sub-millisecond latency for real-time video analytics.
High-Precision Defect & Inspection AI
Industrial defect detection and assembly verification engineered for low false-positive rates, high optical precision, and visual KPI extraction across production environments.
We work with industry-leading frameworks, runtimes, and cloud services to build scalable, reproducible, and hardware-optimized Computer Vision systems.
Computer Vision Frameworks
OpenCV, YOLO (v5–v11), TensorFlow, PyTorch, and ONNX for model development and inference.
Edge AI & GPU Acceleration
NVIDIA Jetson, TensorRT, CUDA, and DeepStream for high-performance edge vision deployments.
Cloud Vision Platforms
AWS Rekognition, Google Vision AI, and Azure Computer Vision for scalable cloud inference and managed AI services.
MLOps & DevOps
Docker, Kubernetes, and CI/CD pipelines for model versioning, deployment automation, and continuous monitoring.
Ready to Build Intelligent Vision Solutions?
Leverage AI-powered Computer Vision technologies to automate processes, improve safety, and unlock insights from visual data.