A Core Principle

Our technology focuses on making the customer experience 100 percent secure. We abide by all state laws and we are fully compliant with data protection by design controls.

The implementation strategy involves a phased approach, beginning with a pilot program in a specific ward or department to assess efficacy and gather feedback. Staff training is essential to ensure seamless integration into existing workflows, followed by scalable expansion tailored to each healthcare setting's unique requirements. This systematic implementation fosters adaptation and optimization, aligning with the healthcare industry's evolving needs for technology-driven solutions to improve patient care, operational efficiency, and security standards.

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Our Core Competency

In the dynamic landscape of healthcare, the simultaneous enhancement of workforce efficiency and security is paramount.

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Employee Tracking

Integrating Computer Vision for Employee Tracking, Improved Availability, and Unauthorized Entry Prevention

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Asset Tracking

Computer Vision for Asset Tracking and Tablet Identification Based on Planogram

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Food Wastage Management

Computer Vision for Food Wastage Management

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Smart Cafeteria

Computer Vision for Smart Cafeteria Management

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Smart Fridge

Smart Fridge with Integrated Payment for On-Demand Refreshments

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Fully Autonomous stores

Computer Vision for Fully Autonomous stores

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Self-checkout powered by Computer Vision

Integrating Computer Vision for Employee Tracking, Improved Availability, and Unauthorized Entry Prevention

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Self-checkout with Loss Prevention mechanism

CVI's vigilant AI never rests, offering real-time protection by alerting against fraud, analysing customer behaviour.

Implementation Strategy

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Pilot Program
  • Implement the system in a specific ward or department for a trial period.
  • Gather feedback and assess the impact on operational efficiency.
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Staff Training
  • Train staff, healthcare personnel, and administrators on system usage.
  • Ensure seamless integration into existing system workflows.
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Scalability
  • Gradually expand the implementation to each department or facilities.
  • Customize the system based on the unique needs of each healthcare setting.

Case Study

Transforming Attendance Tracking with Advanced Face Recognition Technology
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Overview

CVI spearheaded the development of an innovative Face Recognition-based Attendance System, revolutionizing traditional attendance tracking methods. Leveraging sophisticated facial recognition algorithms such as OpenCV and ArcFace, the system seamlessly captures, analyzes, and verifies individuals' faces, ensuring precise attendance recording.

CVI spearheaded the development of an innovative Face Recognition-based Attendance System, revolutionizing traditional attendance tracking methods. Leveraging sophisticated facial recognition algorithms such as OpenCV and ArcFace, the system seamlessly captures, analyzes, and verifies individuals' faces, ensuring precise attendance recording.

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challenges

Business Challenges Addressed

Privacy Concerns

We addressed privacy worries associated with facial data capturing and processing through advanced encryption and secure protocols, ensuring compliance with data protection regulations.

Accuracy and Reliability

Despite diverse lighting conditions and demographic variability, our system ensures precise attendance tracking, fostering trust and reliability.

Initial Implementation Costs

Overcoming expenses related to software development, hardware setup, and system configuration through strategic cost optimization strategies.

User Acceptance and Maintenance

Promoting user adoption and providing continuous support for system maintenance ensured seamless integration and reduced resistance to change.

Key Highlights

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Prevents Attendance Falsification
  • Our robust facial recognition technology, powered by OpenCV, significantly reduces the likelihood of students manipulating attendance records
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Real-time Notifications
  • Instant attendance updates empower users with transparent information about their attendance status, enhancing accountability.
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User-Friendly Admin Application
  • A user-centric admin interface simplifies the management of biometric data, enhancing system usability and administrative efficiency.
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Overcoming Challenges

Privacy Measures Implementation

Stringent privacy protocols and stakeholder education about encryption techniques instilled trust and compliance with data protection standards.

Algorithm Refinement for Accuracy

Constant refinement and testing of face recognition algorithms overcame challenges posed by lighting discrepancies and diverse facial expressions, enhancing system precision.

Cost Optimization Strategies

Employing phased implementation and exploring cost-effective hardware and software alternatives mitigated initial expenses and financial strain.

User Training and Support

Comprehensive user training sessions and ongoing technical support facilitated smoother adoption, addressing user acceptance and support concerns effectively.

Benefits

Delivered Solution

The Face Recognition-based Attendance System symbolizes a paradigm shift in technological innovation meeting real-world needs. Its seamless automation, fortified security measures, and unwavering accuracy exemplify a future where pioneering solutions streamline processes, safeguard privacy, and inspire efficiency and trust. Our commitment to precision, privacy, and progress underscores the power of merging cutting-edge technology with practical solutions.

For inquiries or further information, please contact us.

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Technology Stack

Our Secret

CVI's technology stack is a fortress of innovation, fortified by IP-protected computer vision models and an edge-to-cloud infrastructure. Maximizing silicon capabilities through the streamlined deployment of multiple algorithms within a singular CPU/GPU combination, our system processes data at the edge before transmitting formatted insights to the secure cloud.

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Protected IPs

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Edge to Cloud Infrastructure

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Exponential Growth

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Security and Compliance

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Build Model

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Product Onboarding