suhal samad
AI & ML Engineer|Real-Time Computer Vision & Edge AI Expert
New to Contra
suhal is ready for their next project!
Stop Recording the Past. Start Protecting the Present.
Traditional CCTV has a major flaw: it only tells you how you got robbed after it already happened.
For property managers, retail owners, and apartment boards, passive surveillance isn’t enough anymore. You don't need a digital witness—you need an active intelligence officer.
That’s why I built the Real-time NeuraSense Vision Suite.
NeuraSense bridges the gap between High-Speed Computer Vision and Generative AI to turn standard security cameras into a proactive digital shield.
What makes NeuraSense different?
True Behavioral Intelligence: We’re way past basic motion detection. NeuraSense understands human intent. It easily differentiates between a resident unlocking a door and an unauthorized visitor "piggybacking" through a secure gate.
Sub-Second Latency Alerts: When a threat like loitering, theft, or forced entry occurs, a real-time alert hits your mobile app in under a second—giving your team the power to intervene before a situation escalates.
Talk to Your Data: Powered by Gemini AI, security teams and property managers can query their surveillance system using natural language. Want to know how many delivery trucks entered today or find a specific incident? Just ask. Incident reporting is now 10x faster.
Who is this for?
Property Managers & Apartment Owners looking to slash liability and secure common areas.
Remote Security Authorities needing high-fidelity, low-noise alerts to manage multiple sites efficiently.
Retail Owners aiming to curb shrink and loitering without hiring massive security details.
Security shouldn't be a post-mortem exercise.
If you are looking to upgrade your property's safety from reactive to proactive, let’s connect.
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AI Shoplifting Detection System: Intelligent Video Analytics for Retail Loss Prevention
Protect your storefront with an automated AI security solution that never sleeps. This project implements a full-stack Computer Vision pipeline capable of monitoring 16+ simultaneous RTSP streams. By utilizing ByteTrack for stable person re-identification and Deep Learning action classifiers, the system detects unauthorized entry into staff zones and alerts management to shoplifting incidents as they happen. A robust, scalable solution for grocery stores and retail outlets looking to modernize their security infrastructure.
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AI-Powered PPE Compliance & Safety Monitoring
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multi camera ai tracking for mask detection and motion analytics
Stop monitoring manually. Start automating safety.
In high-stakes environmentshospitals, construction sites, and manufacturing plantscompliance isn't optional. I build Industrial-Grade AI Video Analytics that combine real-time Face Mask Detection with advanced Person Movement Tracking to ensure 24/7 safety oversight without human error.
The Synergy: Why Both Matter
Most developers offer one or the other. I integrate them into a single, high-performance pipeline:
Compliance Monitoring: Instant detection of PPE/Face Mask violations with timestamped logging.
Behavioral Tracking: Beyond simple detection, I track individual movement paths to identify "High-Risk" behaviors or unauthorized entry into restricted zones.
RTSP Scalability: My systems don't just work on one webcam; they are optimized to handle multi-camera RTSP feeds (16+) with zero lag.
Key Features of the System:
Dual-Stream Intelligence: Real-time Mask/No-Mask classification paired with unique Person IDs (Re-ID).
Zone-Aware Analytics: Define specific "Mask-Mandatory Zones" vs. "Common Areas" to reduce false alerts.
Motion & Velocity Insights: Track if a person is running, loitering, or entering a hazardous area without prop
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