Computer Vision Development Services
Production-ready computer vision solutions: object detection, image classification, facial recognition, video analytics, and OCR with 95%+ accuracy.
Key Capabilities
Accuracy
State-of-the-art models achieving 95-99% accuracy on production datasets.
Real-time Processing
Process images and video frames in real-time with <50ms latency.
Edge Deployment
Deploy on edge devices (Jetson, Coral, cameras) for low-latency inference.
Computer Vision Solutions
Object Detection & Recognition
Detect and classify multiple objects in images and video with bounding boxes, labels, and confidence scores.
- ✓ YOLOv8, EfficientDet, Faster R-CNN models
- ✓ Custom object detection for your products/assets
- ✓ Real-time processing (30-60 FPS)
- ✓ Small object detection optimization
- ✓ Multi-class detection (100+ classes)
Image Classification & Segmentation
Classify images into categories and perform pixel-level segmentation for precise understanding.
- ✓ Image classification (ResNet, EfficientNet, ViT)
- ✓ Semantic segmentation (U-Net, DeepLabv3)
- ✓ Instance segmentation (Mask R-CNN)
- ✓ Medical imaging analysis
- ✓ Quality inspection and defect detection
Facial Recognition & Analysis
Detect faces, recognize individuals, and analyze facial attributes with privacy-compliant solutions.
- ✓ Face detection and landmark recognition
- ✓ Face verification and identification
- ✓ Age, gender, emotion estimation
- ✓ Liveness detection (anti-spoofing)
- ✓ Privacy-preserving face blurring
OCR & Document Analysis
Extract text and data from documents, forms, invoices, and images with high accuracy.
- ✓ Text detection and recognition (Tesseract, EasyOCR, PaddleOCR)
- ✓ Handwriting recognition
- ✓ Document layout analysis
- ✓ Table and form extraction
- ✓ Multi-language support (100+ languages)
Video Analytics
Analyze video streams for activity recognition, tracking, and anomaly detection.
- ✓ Multi-object tracking (DeepSORT, ByteTrack)
- ✓ Action recognition and activity analysis
- ✓ Crowd counting and density estimation
- ✓ Anomaly detection in surveillance
- ✓ Real-time video processing pipelines
Industry Applications
Retail & E-commerce
- • Visual search and product recommendations
- • Shelf monitoring and planogram compliance
- • Checkout-free stores (Amazon Go-style)
- • Loss prevention and theft detection
Manufacturing & Quality Control
- • Automated visual inspection
- • Defect detection (scratches, dents, etc.)
- • Assembly verification
- • Dimensional measurement
Healthcare & Medical
- • Medical imaging analysis (X-ray, CT, MRI)
- • Cancer detection in pathology slides
- • Diabetic retinopathy screening
- • Skin lesion classification
Security & Surveillance
- • Person and vehicle detection
- • Intrusion detection and perimeter security
- • License plate recognition (ANPR)
- • Suspicious behavior detection
Pricing & Timeline
Investment
- • Object Detection: ₹12-30L
- • Image Classification: ₹8-20L
- • OCR System: ₹10-25L
- • Video Analytics: ₹20-50L
- • Custom Solution: ₹30L-2Cr
Timeline
- • POC: 2-4 weeks
- • MVP: 6-8 weeks
- • Production: 10-16 weeks
- • Data labeling: 2-6 weeks
- • Model training: 1-3 weeks
Case Study
Manufacturing Quality Control
Challenge: Manual visual inspection of 10K parts/day, 8% defect miss rate
Solution: Custom YOLOv8 model for defect detection with edge deployment
Results:
- • Detection accuracy: 98.7%
- • Defect miss rate: 8% → 0.3% (-96%)
- • Inspection speed: 100x faster
- • False positive rate: <1%
Business Impact:
- • Investment: ₹35L
- • Annual savings: ₹1.8Cr
- • Quality improvement: 85%
- • ROI: 514% first year
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