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Computer Vision & Video Analytics Services

Operational Intelligence from Visual Data

Centric enables organizations to convert camera data into actionable operational intelligence. Our Computer Vision & Video Analytics services focus on safety, compliance, inspection, and automated detection across industrial, commercial, and enterprise environments. Solutions are architected for accuracy, governance, and integration with existing operational systems.


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Why Computer Vision Matters

Most enterprises collect video data without extracting value from it. Computer Vision automates interpretation-reducing manual inspection, enhancing safety, and enabling real-time intervention. Whether deployed in factories, warehouses, offices, or field operations, vision intelligence improves throughput, compliance, and decision speed.


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Object Detection & Classification

AI models that detect objects, activities, and conditions relevant to operations and compliance.

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PPE & Safety Compliance Monitoring

Automated detection of PPE usage, restricted access, and hazardous behavior in operational environments.

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Video Analytics & Visual Inspection

Continuous inspection of assets, materials, and activities to identify defects, process deviations, and operational risks.

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Edge-Based Vision Solutions

Low-latency, hardware-optimized models for real-time processing on-prem or at the network edge.

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Object Detection & Classification

Real-time detection of operational elements.

We deploy models that identify objects and events with high accuracy, supporting automation and compliance.


Industrial, warehouse, and logistics workflows

Optimizing industrial, warehouse, and logistics workflows through advanced computer vision and video analytics to enhance efficiency, accuracy, and operational performance.

Anomaly detection and process variance

Leveraging computer vision and video analytics for real-time anomaly detection and process variance identification to ensure quality control and operational consistency.

Activity recognition and event triggers

Utilizing computer vision and video analytics to recognize activities and trigger events, enabling automated responses and enhanced operational insights.

Integration with downstream systems (ERP/SCM/ITSM)

Seamlessly integrating computer vision and video analytics with downstream systems like ERP, SCM, and ITSM to drive data-driven decisions and streamline operations.

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PPE & Safety Compliance Monitoring

Safety assurance without manual supervision.

Our solutions identify PPE violations, restricted zone breaches, and unsafe behavior-alerting stakeholders instantly.


Hard hats, gloves, vests, eyewear detection

Enhancing workplace safety by using computer vision and video analytics to detect hard hats, gloves, vests, and eyewear compliance in real time.

Access zone and boundary monitoring

Utilizing computer vision and video analytics for real-time access zone and boundary monitoring to enhance security and ensure compliance with safety protocols.

Worker behavior and process adherence

Leveraging computer vision and video analytics to monitor worker behavior and ensure adherence to processes for improved operational performance and compliance.

Alerts, notifications, and compliance logging

Implementing real-time alerts, automated notifications, and comprehensive compliance logging through computer vision and video analytics to ensure regulatory adherence and proactive issue resolution.

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Video Analytics & Visual Inspection

Inspection at scale, with traceable audit pathways.

We automate visual QA/QC, asset checks, and material inspection for consistency and standardization.

 


Defect and quality anomaly detection

Utilizing computer vision and video analytics to identify defects and quality anomalies in real-time, ensuring higher product standards and reducing operational risks.

Material handling and logistics verification

Employing computer vision and video analytics to verify material handling processes and optimize logistics operations, ensuring accuracy, efficiency, and compliance.

Continuous line and process monitoring

Leveraging computer vision and video analytics for real-time monitoring of production lines and processes, ensuring consistent performance and immediate detection of inefficiencies or issues.

Incident traceability and reporting

Utilizing computer vision and video analytics to track, document, and generate comprehensive reports on incidents, ensuring transparency and facilitating timely resolution.

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Edge-Based Vision Solutions

Low latency, high control.

We run models on edge hardware for real-time inference where bandwidth, privacy, or latency prevent cloud reliance.

 


Edge AI appliance deployments

Implementing edge AI appliances for real-time data processing and analysis, enhancing decision-making capabilities and reducing latency in computer vision and video analytics applications.

Offline/limited connectivity operations

Enabling seamless computer vision and video analytics functionality in environments with offline or limited connectivity, ensuring continuous operation and data processing even in challenging conditions.

On-premise security and data control

Ensuring robust on-premise security and full data control through computer vision and video analytics, protecting sensitive information while maintaining compliance and operational integrity.

Integration with OT and industrial systems

Seamlessly integrating computer vision and video analytics with operational technology (OT) and industrial systems to enhance automation, improve monitoring, and drive efficiency across manufacturing processes.

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How We Work

We follow a structured, end-to-end approach to delivering computer vision and video analytics solutions that create measurable impact. Our process begins with understanding your use case, data sources, and performance requirements, followed by model selection, training, and optimization. We focus on accuracy, scalability, and real-time performance across cloud and edge environments. From deployment to continuous monitoring, we ensure reliable and production-ready vision systems.


Environment & Camera Assessment

Evaluate hardware, angles, lighting, and integration paths.

Model Configuration & Validation

Tune detection thresholds, accuracy, and performance metrics.

Integration & Deployment

Connect alerts, dashboards, and operational systems for use.

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Turn Visual Data into Intelligent Insights

Unlock the power of computer vision and video analytics to automate processes, enhance safety, and drive smarter decisions. Our experts design and deploy scalable vision solutions tailored to your business needs. Let’s transform your visual data into real-time, actionable intelligence.

End-to-End Computer Vision & Video Analytics Services

We deliver comprehensive computer vision and video analytics solutions that transform visual data into actionable insights. Our services include image and video processing, object detection and tracking, facial recognition, anomaly detection, and real-time video analytics. We design, train, and deploy scalable models across cloud and edge environments. From solution design to ongoing optimization, we ensure high accuracy, performance, and reliability at scale.

Computer Vision & Video Analytics for Smarter Insights

Business Outcomes

• Reduced safety violations and compliance failures
• Less manual inspection workload and labor overhead
• Faster incident detection and response times
• Fewer operational disruptions and defects
• Quantifiable compliance and audit visibility

Who This Is For

• Industrial, manufacturing, and logistics operations
• Construction, energy, and field services
• Retail or warehouse facilities with visual verification needs
• Enterprises with CCTV but no visual intelligence layer

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Computer Vision & Video Analytics for Smarter Insights

See How We’ve Helped Businesses Achieve Their Goals

Our marketing strategies don’t just look good on paper—they deliver real, measurable results. Explore our success stories to see how Centric has empowered businesses like yours to thrive.

What Our Clients Say About Us

The team was flexible, attentive to the client's needs, and trustworthy. Centric's comprehensive, well-organized process and checklists were key elements of the project management approach.

Steve Louis

Senior Vice President - Promethean Energy

Centric has helped us achieve a 105% surge in conversions, a 47% decrease in cost per lead, an 8.58% conversion rate from paid advertising, and an ROI of 16.6 times

Bobby Grover

President - BigTex Storage

Centric delivered items on a lightning fast turnaround. They never once told us they couldn't do something, and always made it happen.

Rebecca Burley

HBMA

They came up with the requested solution with minimum to no materials available from our side.

Alberto Bianconi

General Manager - Omnialog

Their customer care and feedback research skills, and persistence in achieving great results were unique.

Amr Alkhatib

Brand Manager at Sharbatly Fruits

Centric delivered on time and also responded to everything we ever asked very promptly. Most of the time same day and if not within 24 hours they would respond.

Zakir Seyar

HRSS CPA

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Tailored Marketing Solutions for Every Industry

No matter your sector, Centric delivers custom marketing strategies designed to meet your unique challenges and goals.

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Frequently Asked Questions

AI-powered video analytics refers to the use of artificial intelligence (AI) and machine learning (ML) algorithms to process and analyze video footage in real-time. This technology identifies patterns, objects, and behaviors within the video streams, allowing for enhanced decision-making. Key aspects include facial recognition, motion detection, and anomaly detection, enabling automated surveillance and monitoring. AI video analytics can significantly improve security and operational efficiency by providing actionable insights.

Video analytics works by using advanced algorithms to interpret video data. It involves capturing video from cameras and processing it through AI and computer vision technologies. These systems analyze the video stream for specific patterns, such as object recognition, motion detection, or event-triggered activities. By leveraging deep learning models, video analytics can identify and track moving objects, detect suspicious behavior, and automate responses in real-time.

Yes, AI video analytics can be integrated into existing CCTV systems, enhancing their functionality. By adding AI-powered software to legacy cameras, businesses can benefit from advanced features like real-time object detection, facial recognition, and behavior analysis. This integration is often achieved through software updates or external hardware that works alongside existing infrastructure, providing a cost-effective solution to upgrade surveillance systems.

The cost of AI video analytics depends on factors such as the complexity of the system, the number of cameras, and the specific features required. Basic AI video analytics solutions might start at a few hundred dollars per camera, while more advanced systems with capabilities like real-time data processing, object recognition, and cloud integration could cost thousands of dollars. Additionally, there may be ongoing fees for software updates, storage, and cloud services.

Computer vision is a field of artificial intelligence that enables machines to interpret and make decisions based on visual information. Using algorithms and machine learning, computer vision allows computers to identify objects, track movement, recognize faces, and understand the context within images or videos. This technology is widely applied in various industries, from autonomous vehicles to medical imaging, by mimicking human vision capabilities.

Computer vision offers significant benefits to businesses by automating processes, improving efficiency, and enhancing customer experiences. It enables automated quality control, inventory management, and facial recognition for security purposes. In retail, computer vision can track customer behavior, improving marketing strategies. For industries like manufacturing, healthcare, oil and gas, it streamlines operations, reduces errors, and increases productivity by processing large volumes of visual data quickly and accurately.

Computer vision systems can be very secure when implemented with appropriate privacy measures and encryption techniques. However, like any technology, the security of computer vision systems depends on how well they are designed and maintained. Vulnerabilities may arise if data is not properly protected, leading to potential privacy concerns or malicious attacks. To enhance security, businesses should use secure data storage, encryption, and ethical AI practices to safeguard visual data.

The accuracy of computer vision technology has significantly improved with the advancement of deep learning and neural networks. Modern computer vision models, particularly those utilizing convolutional neural networks (CNNs), offer high accuracy in tasks such as object detection, facial recognition, and image classification. However, accuracy can vary depending on the quality of the data, the complexity of the task, and environmental factors like lighting or angle, which may affect performance.

Despite its advancements, computer vision has limitations. It can struggle with recognizing objects in low-quality images, under unusual lighting conditions, or in complex environments. It also requires large amounts of labeled data for training, which can be time-consuming and costly. Additionally, computer vision systems may be vulnerable to adversarial attacks or biases if the training data is not diverse enough, leading to inaccurate results or ethical concerns.

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Spanning 8 cities worldwide and with partners in 100 more, we're your local yet global agency.

Fancy a coffee, virtual or physical? It's on us – let's connect!

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Spanning 8 cities worldwide and with partners in 100 more, we're your local yet global agency.

Fancy a coffee, virtual or physical? It's on us – let's connect!