Manual inspection is too slow and inconsistent to scale across production lines, infrastructure or distributed assets.
Software development with end-to-end competence
Vision analytics for cities, industry and infrastructure
Wapice helps apply computer vision to inspection, monitoring and situational awareness across cities, infrastructure and industry.
Computer vision creates value when visual data is turned into faster decisions, more consistent quality and earlier detection of problems.
Common challenges we help solve
Critical defects, deviations and anomalies can be missed when detection depends on human observation alone.
Variable lighting, weather, materials and operating conditions make computer vision difficult to implement reliably.
Uncertainty around feasibility, accuracy and ROI can delay decisions and stall deployments.
Computer Vision analytics in practice
Wapice’s computer vision solutions enable industrial companies to automate visual inspection, monitor critical infrastructure, and maintain consistent product quality at scale. Our algorithms detect features from images and video that the human eye cannot reliably catch – from microscopic surface defects to thermal anomalies in energy infrastructure.
We deliver solutions across the full stack
From camera and sensor selection through algorithm development to production deployment on edge devices or cloud platforms. Our team combines deep expertise in image processing, deep learning, and industrial domain knowledge.
Urban Intelligence with Computer Vision
See how urban areas are used — and respond with better timing and insight.
Cities and service providers have access to vast amounts of visual and sensor data, but turning it into actionable insight is not straightforward. Wapice helps convert camera and video data into real-time situational awareness and predictive insight for traffic, parking and public space management.
- Recognition of free and incorrectly used parking spaces from camera feeds
- Real-time monitoring of urban areas and public spaces
- Predictive models for people flow and crowd forecasting
- Automated detection of anomalies affecting traffic, parking and safety
- Dashboards and applications for real-time operations and planning
Energy & Infrastructure Monitoring
Detect issues earlier across distributed assets and critical infrastructure.
Energy and infrastructure operators need more efficient ways to monitor distributed assets and identify issues before they lead to downtime, safety concerns or costly maintenance work. Wapice provides computer vision solutions for automated inspection and condition monitoring using visual, thermal and video data.
- Solar panel inspection using thermal and visual imagery
- Detection of defects, soiling and thermal anomalies
- Drone-based inspection of distributed infrastructure
- Monitoring of power lines, substations, wind turbines and facilities
- Anomaly detection in energy production and distribution environments
Industrial Quality Control & Process Optimisation
Improve inspection consistency and catch defects at production speed.
In manufacturing, inspection must be both reliable and fast. Wapice helps automate visual quality control on production lines, enabling more consistent inspection and earlier detection of defects. Computer vision can also be combined with other sensor and process data to improve visibility into production status and support process optimisation in demanding industrial environments.
- Automated quality inspection on production lines
- Detection of defects, deviations and missing components
- Surface material analysis and classification
- Process optimisation through visual and sensor data
- Integration with production systems and SCADA
Key benefits of building AI capabilities with a partner:
- Move faster from AI opportunity to concrete action.
- Focus on the use cases that are worth prioritising.
- Avoid disconnected pilots and costly false starts.
- Build AI solutions that are ready for real use, not just proof of concept.
- Strengthen internal capability through training, collaboration and shared ways of working.
- Create a stronger foundation for long-term AI development and governance.
How we work
We begin every project with a collaborative phase to understand your data, processes, and objectives. From there, we move rapidly to proof of concept and after validation, to scalable implementation.
1) From the challenge to use case
We begin by understanding your goals, data, processes and current readiness. This can start with a focused workshop, maturity assessment or use-case discovery session.
2) Validate what is worth building
Together, we prioritise use cases, assess feasibility and define a practical roadmap. When needed, we build a proof of concept to validate the idea with real data.
3) Build for real use
Once the direction is clear, we design and implement the solution for production use — including integrations, deployment, governance and continuous development.
A practical way to get started: Machine Vision Laboratory
Wapice operates a dedicated computer vision laboratory where we develop, test, and validate vision solutions before deployment. The lab is equipped with industrial cameras, lighting systems, and computing resources that allow us to prototype solutions rapidly using your actual samples and conditions.
The lab enables us to reduce project risk by validating detection accuracy early, test multiple camera and lighting configurations, benchmark algorithms on real-world data, and provide a tangible proof of concept before full-scale deployment.
Laboratory capabilities
Test vision use cases early with real samples, conditions and equipment – before larger investments.
- Surface defects such as scratches, dents, contamination and coating issues
- Presence, absence and orientation checks for parts and components
- Measurement and analysis of complex or variable materials
What you gain
Early validation helps you make better decisions, define a more realistic scope and build confidence around feasibility, performance and business value.
- Faster feasibility decisions
- Clearer project scope and ROI assumptions
- Stronger internal buy-in through tailored demos and tested concepts
Key benefits
When vision systems are designed for real environments, they help automate inspection, support continuous monitoring and reduce dependence on manual visual checks.
- Higher and more consistent quality through automated inspection
- Improved safety and visibility through continuous monitoring
- Lower manual inspection effort and fewer human errors
These are examples of ways how we usually start working with clients.
Feel free to tell how you would like to start!
Feel free to tell how you would like to start!
Let’s look at your system together
Whether you need architecture support, embedded and industrial software expertise, better integration between systems, more scalable use of data, or a practical path from platform work to applied AI, Wapice can help.
Tell us where the friction is: platform architecture, software quality, integration, data, AI, or lifecycle continuity.
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