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See Clearer AI

Deep Learning Video Analytics • Real-time Intelligence • Edge Processing

99.7%
Detection Accuracy
<5ms
Inference Latency
50+
Pre-trained Models
INTELLIGENT VISION

Computer Vision Intelligence

Next-generation AI-powered video analytics

Input Layer
Video Streams
Convolutional Layers
Feature Extraction
Pooling Layers
Dimensionality Reduction
Output Layer
Classification
Object Detection

YOLOv8, ResNet, EfficientDet

Face Recognition

ArcFace, FaceNet, 1:N matching

ANPR/LPR

99% accuracy in motion

Behavior Analysis

Abnormal activity detection

AI Capabilities

Comprehensive computer vision features

99.7%

Face Recognition

1:N matching at scale • Mask detection • Age/gender estimation • Watchlist alerts

99.5%

ANPR/LPR

License plate recognition • 200+ countries • Color/speed detection • Blacklist alerts

98.9%

People Counting

Real-time occupancy • Heat mapping • Dwell time analysis • Queue management

99.2%

Object Detection

100+ object classes • Left luggage detection • PPE compliance • Fire/smoke detection

97.5%

Behavior Analysis

Loitering • Fighting • Running • Falling • Intrusion detection

99.8%

Biometric Fusion

Multi-modal authentication • Face + iris • Face + gait • Anti-spoofing

98.5%

Retail Analytics

Shopper demographics • Path analysis • Conversion rates • Hot zones

99.9%

Safety Compliance

Hard hat detection • Vest detection • Social distancing • Mask compliance

Deep Learning Architecture

Powered by state-of-the-art neural networks

Convolutional Neural Networks

ResNet-50, EfficientNet, MobileNet for real-time feature extraction

Depth50-152 layers
FPS30+

Object Detection (YOLO)

YOLOv8, YOLO-NAS for real-time multi-object tracking

mAP95.2%
Speed2ms

Face Recognition

ArcFace, FaceNet, InsightFace with 1:N matching

Database1M+
Speed0.3s

10M+ Training Images
Diverse datasets

NVIDIA A100 Training
Distributed learning

Continuous Learning
Weekly model updates

Edge AI Processing

Intelligence at the source, privacy by design

Edge Processing

  • Real-time Processing: <5ms inference latency on camera edge devices
  • Privacy Preserving: All processing locally, only metadata to cloud
  • Offline Operation: Full functionality even without network connectivity
  • Bandwidth Reduction: 90% reduction in data transmission
  • Low Power: Optimized models for edge TPU, NVIDIA Jetson
  • OTA Updates: Continuous model improvements over-the-air

AI Performance Specifications

Face Recognition Accuracy99.7% (LFW benchmark), 98.5% under maskTop-tier
Object Detection mAP95.2% on COCO dataset, 98.1% on custom datasetsState-of-art
Inference Latency<5ms on edge devices (Jetson), <50ms on cloudReal-time
Maximum Concurrent Streams128 per edge device, unlimited with clusterScalable
Supported PlatformsNVIDIA Jetson, Google Coral, Intel NCS, Raspberry PiMulti-platform
Privacy & SecurityGDPR compliant, on-device processing, encrypted metadataEnterprise

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