When Machines See, Understand, and Act

Computer Vision – the ability of machines to understand visual information – is one of the most powerful areas of artificial intelligence. It enables companies not only to capture images and videos, but to derive insights from them that were previously accessible manually or not at all. At Haterko AI Labs, we design and develop solutions based on modern image processing and deep learning that make processes more intelligent, secure, and efficient. From industrial quality control through traffic analysis to intelligent race track optimization – we bring visual AI into real applications.

• What We Offer

  We develop custom computer vision systems adapted to your processes, data sources, and goals. Our solutions include:

  • Real-time Object and Event Detection: e.g., for production lines, security monitoring, or traffic analysis
  • Anomaly Detection: for detecting errors, deviations, or risks in complex processes
  • Visual Data Analysis: to identify patterns, quality, and efficiency factors
  • Integration into Existing Systems: seamlessly into production controls, cloud platforms, or on-premise infrastructures

  This creates practical AI applications that don't just see, but understand – and support decisions based on this.

• Your Benefits

  With Haterko AI Labs, you gain a partner that combines image processing, AI, and software engineering into holistic solutions. Our systems help monitor processes, ensure quality, make data-based decisions – all with full control over your data. Whether industry, urban infrastructure, or high-performance sports – we bring visual intelligence where it creates real value. Made in Europe. Secure. Scalable. Effective.

• Our Approach

  Our development process is based on close collaboration with your expert teams:

  
  
  • Requirements Analysis & Use Case Definition: what data is available and what insights should be gained?
  • Data Preparation & Model Training: Building specific training datasets adapted to your environment
  • Prototyping & Validation: Development of functional models for evaluation in live operation
  • Integration & Scaling: Integration into your systems, including monitoring and continuous improvement

  Our solutions can be operated both locally (on-premise) and in the cloud – depending on security and performance requirements.




Application Areas




• Smart Manufacturing

  In modern manufacturing, artificial intelligence becomes a central tool for quality assurance and process optimization. Through real-time object detection and automated anomaly detection, computer vision identifies even the smallest deviations in production – before they lead to errors or waste.

  Typical Application Examples:

  • Visual Quality Control: Camera systems capture components during assembly, AI evaluates their condition and detects irregularities in real-time.
  • Early Error Detection: Deviations are automatically reported before they lead to waste or production failures.
  • Process Optimization: Through data-based analysis of production patterns, downtime can be reduced and utilization increased.

  The result: higher product quality, less rework, and measurable efficiency gains – a decisive competitive advantage in times of increasing automation and cost pressure.

• Smart City – Intelligent Cities Understand Their Environment

  In urban areas, computer vision enables real-time evaluation of data from cameras, sensors, and traffic flows. This allows cities to optimize traffic flows, detect security risks early, or reduce energy consumption.

  Typical Application Examples:

  • Traffic Management: AI detects vehicle density and pedestrian movements and dynamically adjusts traffic lights to reduce congestion and emissions.
  • Infrastructure Monitoring: Image data captures the condition of roads, bridges, or public facilities and automatically reports maintenance needs.
  • Security Analytics: Anonymized detection of unusual movement patterns helps identify risks early – in compliance with data protection regulations.

  Thus, visual AI helps make cities more livable, safer, and more sustainable.

• Motorsport & Race Track Analysis

  In the high-performance environment of motorsport, every millisecond counts. Computer vision delivers decisive advantages here – from analyzing vehicle movements through optimizing pit stops to safety monitoring on the track.

  Typical Application Examples:

  • Tire & Component Status: Real-time condition detection and early assessment of wear.
  • Driving Dynamics & Line Choice: Analyze position to ideal racing line and sector times, make performance potentials visible.
  • Pit Stop Optimization: Precisely capture processes, improve timing and crew workflows based on data.

  Additionally, we support data-driven race strategies: Visual AI detects patterns in driving behavior and delivers reliable insights for tactical decisions.

  Result: measurable performance gains, more safety, and a clear advantage on the track.