Computer Vision

Empower your business with cutting-edge AI and ML-powered vision solutions. Our comprehensive range of technical capabilities in computer vision enables you to unlock the true potential of your visual data and leverage it to gain actionable insights. From smart image analysis to real-time feed analysis, we offer a suite of services that revolutionize how you interpret and utilize visual information.
Applied AI

80%

or more organizations reported that they are investing in AI initiatives​.

76%

of companies in 2024 are either piloting or implementing real-world AI solutions​.

∼40%

is the amount of productivity boost reported by various organizations.

What You Can Do

Manual safety monitoring often misses critical threats; leverage AI vision systems for proactive risk detection.
Traditional safety monitoring methods can fail to detect hidden or emerging risks, leading to accidents and legal liabilities. Computer vision technology continuously scans environments, identifying safety hazards in real time and alerting teams to potential issues, significantly improving workplace safety.
Processing large volumes of visual data is complex, harness AI for faster insights.

Processing and analyzing large volumes of visual content, such as surveillance footage or manufacturing defects, can overwhelm traditional systems. AI-driven computer vision automates the analysis of images and videos, enabling quicker, more accurate insights into operational performance and potential issues.

Real-time anomaly detection is tough; utilize AI for immediate recognition of deviations.

Detecting anomalies in processes or security environments can be difficult and slow using manual methods. AI-powered computer vision systems provide instant detection of anomalies, allowing for immediate corrective action that prevents costly operational disruptions or security breaches.

Tracking worker health and safety manually is inefficient; implement AI to ensure compliance and safety standards.
Monitoring employee health and safety in hazardous environments is a top priority for organizations. Computer vision tracks worker behavior and environmental conditions, automatically alerting managers to any non-compliant actions or hazardous conditions, preventing accidents and ensuring safety standards are met.

Technical Capabilities

Our Partnerships

PRimo-RPA-white

Growth Recognition

CL-KSA
USA

See How Organizations Are Innovating

Situation

Coles Group faced significant challenges in deploying applications quickly across its 1,800 stores. Slow deployment times, with IT teams taking upwards of 30 minutes per application, hampered their ability to innovate and improve customer experiences amid growing competition in the retail sector.

Solution

By implementing Azure Stack HCI, Coles Group established an intelligent edge backbone that streamlined application management. This enabled the rapid deployment of computer vision technologies, allowing staff to leverage real-time visual data for tasks such as product recognition and checkout processes, significantly enhancing operational efficiency.

Impact​

Coles achieved a sixfold increase in application deployment speed, reducing deployment times from 30 minutes to mere minutes. This innovation led to a 94% accuracy rate in product recognition at trial locations, elevating customer experiences and freeing employees to focus on value-added services.

Situation

The NBA struggled to effectively analyze the massive amounts of data generated from player movements during games, which averaged 15-16 gigabytes per match. Relying on outdated methods limited their ability to understand critical aspects like speed, dunk height, and injury risks, hindering efforts to boost player performance and enhance game strategy.

Solution

To address these challenges, the NBA implemented a computer vision-based tracking system on the Azure platform. This solution leverages Azure Kubernetes Service to orchestrate AI models, enabling real-time processing of player movements and insights, while seamlessly integrating with existing systems.

Impact​

The integration of computer vision and Azure AI has transformed player analysis, allowing coaches to make real-time adjustments based on comprehensive data. Enhanced insights into player performance not only improve training strategies but also elevate fan engagement through instant feedback on in-game statistics.

Generating Business Value Across Functions

Enhancing Government Surveillance for Public Safety

Computer vision enhances surveillance systems, enabling real-time monitoring of public spaces. It automates threat detection and crowd management, ensuring safety while providing actionable insights for law enforcement agencies to prevent incidents before escalation.

Strengthening Fraud Detection in Financial Transactions
In the finance sector, computer vision analyzes visual data from documents and transactions to detect fraudulent activities. By leveraging advanced image recognition algorithms, institutions can quickly identify discrepancies, enhancing security and reducing financial losses related to fraud.
Streamlining Quality Control in Manufacturing Processes
Computer vision systems conduct real-time quality inspections on production lines. By automatically detecting defects and ensuring product standards, manufacturers can reduce waste, enhance quality assurance processes, and maintain high production efficiency while improving overall product reliability.
Optimizing Equipment Monitoring in Oil and Gas Operations

In the oil and gas industry, computer vision enables continuous monitoring of equipment and infrastructure. By analyzing visual data from machinery, companies can predict failures, perform timely maintenance, and enhance operational safety, reducing downtime and potential hazards.

Improving Resource Identification in Mining Exploration
Computer vision assists in identifying and mapping mineral deposits in mining operations. By analyzing images from drones or satellite feeds, companies can improve exploration efficiency, accurately assess resource availability, and minimize environmental impact during the extraction process.
Automating Inventory Management in Retail Environments
Retailers utilize computer vision to automate inventory management through real-time shelf monitoring. By analyzing visual data, stores can optimize stock levels, reduce shrinkage, and improve customer satisfaction by ensuring product availability and timely restocking.
Enhancing Logistics Optimization Across the Supply Chain

Computer vision enhances supply chain logistics by automating the tracking of packages and inventory throughout the distribution process. This technology provides real-time visibility and improves accuracy in order fulfillment, ultimately enhancing overall operational efficiency.

Implementing Advanced Smoke and Fire Detection Systems

Computer vision technology enables the real-time detection of smoke and fire in various environments. By analyzing video feeds from surveillance cameras, these systems can identify potential fire hazards quickly, alerting safety personnel to respond promptly, thus enhancing fire safety and reducing damage.