Three Pillars of Industrial
AI Excellence
From visual understanding to autonomous action – powered by integrated AI stacks
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Trusted by Happy Customers from the Whole World
Computer Vision
Key Features
- Real-time object detection (<5ms latency)
- Multi-spectral analysis (RGB, thermal, hyperspectral)
- Edge-to-cloud deployment (NVIDIA Jetson to OCI, GCP, AWS SageMaker)
Generative AI
Key Features
- Synthetic data generation (100K+ FDA-validated medical images)
- Defect augmentation for robust training
- CAD-to-reality translation (AutoCAD → Omniverse)
Agentic AI
Key Features
- Self-optimizing workflows (reinforcement learning)
- Blockchain-integrated traceability
- Human-in-the-loop validation
Infosentinal AI
We empower innovation through intelligent AI solutions designed to drive your success. By combining advanced technology with strategic insights, we create smarter, more efficient digital experiences.
Computer Vision
Generative AI
Agentic AI
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Sectors
- Meat Processing
- Smart Cities
- Healthcare
- Manufacturing
- Retail
- Agriculture
Computer Vision
- Carcass grading
- Traffic monitoring
- Tumor detection
- Defect inspection
- Shelf monitoring
- Crop health analysis
Generative AI
- Synthetic defect data
- Simulated accident scenarios
- Synthetic MRI generation
- 3D part generation
- Virtual store layouts
- Synthetic pest imagery
Agentic AI
- Yield optimization bots
- Autonomous traffic routing
- Diagnostic workflow agents
- Predictive maintenance bots
- Dynamic pricing agents
-
Irrigation optimization
We are Happy for Our Achievement
Satisfied Clients All Over
the World
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Computer Vision
Real-time object detection (<5ms latency)
Multi-spectral analysis (RGB, thermal, hyperspectral)
Edge-to-cloud deployment (NVIDIA Jetson to OCI, GCP, AWS SageMaker)
See and understand the visual world
VisionCore SDK (Real-time object detection)
DeepInspect (Micro-defect identification)
ThermoAnalyze (Thermal imaging processing)
AgroVision Suite
AgroVision Suite is a set of specialized computer vision modules optimized for agriculture and meat processing environments. Built for rugged deployments, it enables real-time visual inspection, data-driven decision-making, and regulatory compliance using edge AI.
Slaughter House Optimization
Carcass Grading: computer vision model analyzes 12 quality parameters (marbling, fat thickness) in real-time (220 FPS on Jetson AGX)
Contamination Detection: Hyperspectral imaging (900-1700nm) identifies fecal matter/metals with 99.3% recall
Worker Safety: Pose estimation monitors PPE compliance (helmets/gloves)
Smart Traffic Management
FlowSense: 3D vehicle tracking using roadside LiDAR + RGB cameras (95% count accuracy at 120km/h)
IncidentDetect: Spatio-temporal CNN flags accidents within 8 seconds (IoU threshold 0.7)
Medical Diagnostics (Radiology)
TumorSeg: nnUNet achieves 0.92 Dice score on BraTS dataset
FractureAlert: Vision Transformer detects hairline fractures (<0.3mm)
Slaughter House Optimization
SynthoMeat Dataset: StyleGAN3 generates 100K+ synthetic carcass images with rare defects (3% of training data)
Augmented Reality: Overlays USDA yield grades on physical carcasses via HoloLens 2
Smart Traffic Management
TrafficSim: NVIDIA Omniverse recreates intersection scenarios for RL training
SignGen: Diffusion models create virtual road signs for edge-case testing
Medical Diagnostics (Radiology)
MRISynth: Stable Diffusion creates rare tumor images (validated by 5 radiologists)
ReportGen: LLM (GPT-4o) drafts structured findings from DICOM metadata
Generative AI
Synthetic data generation (100K+ FDA-validated medical images)
Defect augmentation for robust training
CAD-to-reality translation (AutoCAD → Omniverse)
Create and enhance visual data
SynthData (Photorealistic synthetic datasets)
DesignGen (Automated CAD/blueprint generation)
VideoFill (Missing frame reconstruction)
Agentic AI
Self-optimizing workflows (reinforcement learning)
Blockchain-integrated traceability
Human-in-the-loop validation
Autonomous decision-making systems.
AutoOptime (Self-improving process optimization)
ChainSentry (Blockchain + vision traceability)
RoboNav (Dynamic path planning)
Slaughter House Optimization
AutoSorter: Autonomous rail system routes carcasses by predicted yield (Q-learning algorithm)
WasteTracker: Blockchain ledger records disposal reasons (GS1 standards)
Smart Traffic Management
SignalOpt: Multi-agent system coordinates traffic lights (reduces congestion by 37% in trials)
EmergencyPath: Dijkstra’s algorithm + vision prioritizes ambulance routes
Medical Diagnostics (Radiology)
TriageBot: Prioritizes urgent cases based on LSTM risk predictions
QualityGuard: Autonomous DICOM tag correction (98.4% accuracy)
Meet Our Professional Team Member
Ihsanullah Qamar
Performance Management
Shah Faisal
Computer Vision Engineer
Nabeel Ramzan
Support Services Manager
Contact Detail
Call us
info@infosentinalsa.com
Canada
Unit 8, 11 progress kennedy Road, scarbrough , on M1p4s7
4374507659
Bahrain
Office 0105 Building 1942, Road 1333, Riffa / BU Kuwarah 0913, Southern Governorate
Riyadh KSA
Al Jamiah Al Malaz District Riyadh KSA
Get in Touch for any Information!
Feel free to reach out if you have any questions or need more information.
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