Sectors
01
Capabilities
01
Defense & Security
Computer vision (CV) in defense and security processes vast amounts of visual data from cameras, drones, satellites, and other sensors to enhance situational awareness, automate threat detection, and improve operational efficiency.
02
Out-of-home Advertising
Computer vision (CV) in OOH advertising analyzes visual data from cameras embedded in digital billboards, kiosks, or displays to detect audiences, infer demographic attributes (e.g., age, gender, emotions), and measure engagement (e.g., dwell time, attention).
03
Retail 2.0
Track customer movements, dwell times, and attention (e.g., via gaze tracking) to optimize store layouts and marketing. Monitors stock levels, detects misplaced items, and ensures shelf compliance using object detection and segmentation, detect customers at digital kiosks or checkouts for personalized promotions or loyalty program integration, identify products at checkout, eliminating manual scanning. Local processing ensures privacy (e.g., GDPR compliance) and real-time ad delivery.
04
Industry 4.0
Dashboards display real-time CV and sensor data, enabling operators to monitor equipment health and prioritize maintenance. CV monitors equipment surfaces for wear, tear, or corrosion, extending machinery lifespan. Thermal cameras detect abnormal heat patterns in components like bearings or transformers, indicating potential failures. CV continuously analyzes visual feeds to assess machinery health, detecting deviations from normal operation (e.g., vibration, alignment).
01
Low latency Kernels for RT Applications
Low-latency kernels are critical for real-time applications where predictable and minimal response times are essential, such as in embedded missile guidance systems, robotics, autonomous vehicles, telecommunications, and high-frequency trading.
02
Active Parameter Monitoring
Active monitoring of industrial equipment and process nodes involves real-time data collection, analysis, and response to monitor the health, performance, and operational status of equipment and processes. This helps in ensuring operational efficiency, minimizing downtime, and enhancing safety in industries such as manufacturing, energy, oil and gas, and chemical processing.
03
Natural Vision Processing Systems
Natural vision processing systems combine high-resolution cameras, image processing, and real-time decision-making to enable smart machines to "see" and "understand" their environment. Unlike traditional machine vision, which relies on rule-based algorithms for specific tasks, natural vision systems leverage deep learning and neuromorphic approaches to handle complex, dynamic, and unstructured visual data.
04
Artificial Intelligence & Federated Learning
Federated Learning (FL) is a distributed machine learning approach where models are trained across multiple devices or edge nodes without centralizing raw data. Instead, local models are updated on devices, and only model parameters (e.g., weights) are shared with a central server for aggregation
05
Blockchain & Data Protection
Blockchain not only allows data protection but also ensures that data remains congruent, consistent, accurate, and synchronized across distributed systems viz. sensors, edge devices, cloud servers, guidance systems and other critical complex processes.
06
Data Modeling & Simulation
Data modeling and simulation are critical for designing, optimizing, and validating industrial systems, particularly in the context of real-time applications like active monitoring, natural vision processing, AI/federated learning, blockchain, and data congruency protection.