Manual inspections are slow, inconsistent, and prone to human error. ThirdEye Data’s AI-powered Object Detection & Quality Checking system leverages YOLOv8 deep learning models to detect objects in real-time from images or videos, highlight them with bounding boxes, and generate automated quality scores with confidence levels.
It helps enterprises in manufacturing, logistics, retail, and healthcare improve accuracy, reduce costs, and standardize quality assurance across operations.
Manual inspection is slow, labor-intensive, and error-prone.
Detecting moving objects in real-time without automation is nearly impossible.
Lack of standardized quality metrics hampers performance tracking.
Traditional QC systems struggle with large-scale, real-time data streams.
Inefficiencies lead to higher costs and delayed deliveries.
Our system combines computer vision + YOLOv8 models to:
Detect and track multiple objects in real time for counting and quality checking purposes.
Generate bounding boxes with quality scores and confidence metrics.
Provide instant reports to standardize inspections.
Scale easily across production lines, logistics hubs, or surveillance systems.
AI Models: YOLOv8, OpenCV
Backend: Python APIs for inference & reporting
Frontend: Streamlit UI, scalable to dashboards
Database: PostgreSQL/MySQL for logs & metrics
Deployment: Dockerized for cloud or on-prem
Integration: REST APIs for ERP, MES, QC systems
Detect multiple items in a single frame with >90% accuracy.
Syncs with HIS data to dynamically align nurse assignments with patient beds, improving care delivery and reducing mismatches.
Supports automated daily, weekly, or monthly rosters with quick manual adjustments to handle emergencies or sudden changes.
Connects with HRMS and HIS to update nurse details, availability, admissions, and discharges for seamless roster accuracy.
Sends real-time alerts to nurses and administrators for any shift updates, new assignments, or last-minute duty changes.
Offers dashboards for admins, supervisors, and nurses with audit logs to track roster edits and maintain accountability.
Reduces manual scheduling workload by up to 80%, cutting administrative burden and ensuring more effective resource utilization.
Delivers smooth, disruption-free staffing by enabling real-time adaptability to patient discharges, emergencies, and staff changes.
Balances workloads, approves roster changes instantly, and ensures the right staff are assigned in high-pressure hospital units.
Provides clarity and convenience through mobile access to schedules, real-time updates, and reduced confusion during duty allocations.
Enhances care quality by ensuring nurses with the right expertise are consistently matched with patients’ clinical requirements.
With seamless API integration with HIS and HRMS, it offers scalability across small clinics and multi-specialty hospital networks.
See how our AI-powered Nursing Roster Management System optimizes staff allocation and reduces administrative workload.
Hospitals using AI-driven rostering systems have seen measurable improvements:
70% reduction in scheduling time for administrators.
25% decrease in overtime expenses through optimized shift distribution.
40% improvement in nurse satisfaction scores, leading to higher retention.
Faster response times during emergencies, improving patient care outcomes.
Unlike traditional HIS modules or manual scheduling tools, our solution is:
AI-First → Optimizes rosters using predictive analytics and real-time rules.
Integration-Ready → Works smoothly with your existing HIS/HRMS systems.
Scalable → Supports single facilities to multi-hospital networks.
Adoption-Friendly → Intuitive dashboards make adoption fast and staff-friendly.
Compliance-Driven → Built-in policy enforcement ensures hospitals stay audit-ready.
We have deployed this automated nursing roster system to one of the largest hospitals in Asia. This solution has seamlessly integrated with the hospital’s HIS and HRMS platforms, enabling real-time shift scheduling, bed-to-nurse allocations, and instant notifications.
Q1: How does it integrate with our existing systems?
Seamlessly via REST APIs and data sync with HIS/HRMS, no need to replace existing infrastructure.
Q2: How long does deployment take?
Most hospitals can go live within 2-3 weeks, starting with a pilot in one department.
Q3: Is it customizable to our hospital’s policies?
Yes. Rules like maximum hours, shift rotations, and nurse ratios are fully configurable.
Q4: What ROI can we expect?
Clients typically see 20–25% reduction in overtime costs and significant admin time savings within months.
Q5: Is the system secure?
Yes. Role-based access, audit trails, and encryption ensure full data security and compliance.
Q6: Can it scale across multiple hospitals?
Absolutely. Designed for both individual facilities and large hospital networks.
