Fujitsu Computer Vision

See beyond with Fujitsu Computer Vision
End-to-end image recognition solutions to automate, analyze and interpret visual data
Today, huge volumes of visual data are captured in digital images, videos and 3D data. The challenge for organizations is how to efficiently and cost-effectively optimize and extract value from this data - whether that’s gaining insight from customer behavior to optimize product placement in retail environments, manufacturing higher quality products by detecting defects on the production line, detecting fraud at self-checkouts or identifying threats in public spaces.
For organizations looking to gain actionable insight and value from their visual data, we have developed Fujitsu Computer Vision - a suite of end-to-end modular image recognition solutions that can:
- Be flexibly implemented
- Leverage existing on-premises infrastructure and cloud interfaces
- Return actionable insights from the automated detection, identification, analysis and interpretation of visual data
Luxury retail brands are becoming data driven to enhance in-store consumer experiences
How can luxury retailers transform a cost center – that is, their existing CCTV security systems – into a marketing insight center, that can add value to the business, by helping luxury brands understand customer behavior, and enhance in-store consumer experiences?
How can luxury retail use data to drive in‑store performance?
In this white paper, analyst agency PAC and Fujitsu experts explore the role data and technology have in enhancing the in-store customer experience in luxury retail stores. Discover the steps luxury retailers need to take to gather better data to deliver a premium customer experience.
To download the white paper, please fill out your details.
Fujitsu Computer Vision - Benefits

Flexible
- Platform neutral, deployable to cloud or on-premises
- Seamless integration with existing machine vision sensors, CCTV infrastructure, compute hardware, and software ecosystems
- Secure Web App and APIs

Data-science friendly
- Easy to extend and scale for lower PoC to production costs
- Leverages understanding of domain-specific environments to generate and present algorithms and data analysis

Easy to deploy
- Intuitive, customizable UI reduces the user learning curve
- Use-case-specific views improve business decision making
- Storage and processing of large data volumes in real-time

Future-proof
- Continuous refinement of algorithms incorporating user expertise
- Security, performance, and functionality through ongoing release updates

Customizable
- Predefined, yet modifiable modules to trial, prove business value and address unique customer challenges

Scalable
- Scales to support additional users, data, processes, and features over time
- Scales across enterprise operations
Co-create with Fujitsu to solve your business challenges
Combining state-of-the-art AI algorithms with traditional computer vision technologies, Fujitsu Computer Vision solves business challenges where inspection, control, monitoring or analysis cannot be effectively performed due to cost, speed, accuracy, volume, danger or risk.
Building on our experience in image recognition, Fujitsu Computer Vision leverages the power of AI, machine learning and data to address a wide range of use cases including:
- defect and anomaly detection
- quality inspection and assurance
- infrastructure monitoring
- in-store analytics
- fraud prevention
- security monitoring
- behavior analysis
Supported by a wide variety of Fujitsu technologies and tools, our expert Fujitsu Computer Vision team works with you to understand your unique business challenge and how best to overcome it using a collaborative and technology-agnostic approach.
Customer case studies
Fujitsu Computer Vision across industries
Using computer vision image recognition technology, services and solutions, we empower you to increase revenue and productivity. Intelligent maintenance automation, optimized inspection and real-time monitoring enable you to cut costs and waste, improve product quality and enhance customer satisfaction - reducing customer complaints and compensation costs.

Fujitsu Computer Vision in manufacturing
From edge to cloud - using existing or new machine vision sensor setups for:
- quality control and anomaly detection
- quality assurance and predictive maintenance
- production floor optimization
- employee safety and security assessment

Fujitsu Computer Vision in the public sector
End-to-end image recognition solutions for maintenance automation, including:
- infrastructure asset identification and monitoring for faults
- preventative maintenance of city infrastructure - traffic lights, road conditions, and rail equipment

Fujitsu Computer Vision in retail
Detect, track, aggregate and visualize customer and vehicle flows in real-time, including:
- customer behavior analysis, purchase patterns, queue management, and store health
- development of personalized services and frictionless store journeys
- product placement and target advertising optimization

Fujitsu Computer Vision in security
Digitally transform the use of existing CCTV infrastructure to increase citizen safety through:
- crowd and traffic analysis
- real-time detection, tracking and visualization of people
- object detection such as abandoned luggage
- aggressive behavior detection and alerts

Fujitsu Computer Vision in healthcare
Increase safety, reduce costs and transform processes with detection, automation and visualization:
- patient prescreening and measurements
- diagnosis support
- pharmaceutical research pattern inspection
- pharmaceutical manufacturing quality inspection
Explore our full range of Fujitsu Computer Vision use cases
Footfall
- Counting
- Time stamps
- Transfers between zones
Space Management
- People and vehicle heatmaps
- Queue management
Parking Management
- Parking times
- Usage rates
- Vacancy information
Flow Analysis
- Direction
- Density
- Velocity
Demographics
- Age
- Gender
- Vehicle type and brand
Safety
- Smoke detection
- Workwear and safety gear
- Compliance
Fraud Detection
- Turnstile fraud
- Tailgating
Grouping Identification
- Grouping by specific characteristics
Public Spaces
- Abandoned objects
- Lost children
- Health emergencies
Traffic Management
- Car accidents
- Traffic jams
- Unusual stops and anomalies
Health
- Social distancing
- Store health capacity
- Body temperature checks
In-store Management
- Shelf interaction
- Shelf monitoring
- Vendor interaction
Tracking
- Customer journeys – people and vehicles
Crowd Management
- Counterflow control
- Sudden and panic movements
- Unusual gatherings
Security
- Assault and attack detection
- People tracking
- Prowler detection
- People and vehicle trespassing
Defect Detection
- Defect classification
- Anomaly detection
- Measurement checks
- Color analysis
Traceable Quality
- Product tracking over stages
- Identify defect occurrences
Manufacturing Analysis
- Production optimization
- Long-term data logging and analysis
- Optimized equipment maintenance
Infrastructure Monitoring
- Automated asset inspection
- Asset change detection and management
- Optimized maintenance
Pharmaceutical Quality
- Production process defect and anomaly detection
- Diagnostic judgement support
Blogs

Luxury brands are becoming data driven to enhance in-store consumer experiences
Enhancing consumer experience has been a challenge for retail outlets facing competition from e-commerce. More so for luxury brands, where consumer purchase experiences count as much as the products as a decisive factor. Recent technological developments allow luxury brands to become data driven and help understand customer preferences.

Manufacturing QA is ripe for automation with AI-enhanced computer vision
The problem with some AI discussions is that they tend to deal with generalities. But real business is never general – it’s always specific. Within manufacturing, Fujitsu Computer Vision solves challenges where inspection and analysis cannot be performed adequately due to limited data, high accuracy requirements, risk of danger to employees, cost and speed.

How AI-automated quality control helps manufacturers become more sustainable
Today, manufacturers face urgent needs to increase efficiency, reduce wastage, minimize recalls – and on top of that, make the end-to-end process more sustainable than ever. To address this make-or-break challenge, manufacturers can automate production quality control processes by combining computer vision and artificial intelligence.
Insights

White Paper: Adapting to a world in flux with smart CCTV
Discover how artificial intelligence is transforming video networks into the powerful data tools we need.


