Edge AI Solutions

• Portwell’s WEBS-85H1 with Hailo-8™ M.2 AI acceleration module for accurate image analysis in real time
• Compact design with efficient thermal solution optimized for reliable operation in outdoor conditions
• Improving overall detection latency, speeding up traffic management and safety responses

• Enhanced traffic management with minimized latency and higher frame rates (frames per second, or FPS)
• Enhanced accuracy, reliability, and scalability
• Increased security and surveillance effectiveness
• Reduced maintenance cost
• Strong reputation for quality of product, design and manufacturing services with a commitment to long-term product lifespan support

Automated Defect Detection in Manufacturing

Smart Manufacturing

By leveraging Portwell’s edge AI embedded computing system, manufacturers can significantly enhance their quality control processes. This system, equipped with automatic optical inspection technology, excels at identifying defects with high accuracy during component placement processes. Moreover, it can seamlessly integrate into existing manufacturing lines, optimizing quality assurance protocols and effectively minimizing production and product rejection errors.

• Portwell’s PJAI-100-ON platform brings advanced image processing and machine learning capabilities directly to the manufacturing floor
• Proven to reduced defects by 15% during the component placement phase, enhancing product quality and reducing waste without compromising production speed

• High precision for enhanced product quality
• Cost savings in materials and human errors
• Increased production efficiency, minimized operation disruptions and downtime

• Portwell’s PEAI-9910 with NVIDIA GeForce® RTX™ 3060 GPU
• Real-time monitoring, detection, and alerts for work hazards and unsafe behaviors
• AI-driven predictive analytics for potential safety risks before they occur
• Effectively monitor and manage adoption of EHS practices to ensure continuous compliance

• Ensuring worker safety by leveraging AI-powered behavioral analytics
• Simplifying compliance with EHS regulations
• Enhancing factory management efficiency while minimizing costs

Robotic Weeder

Smart Agriculture

Robotic weeders, powered by AI and machine vision, play a crucial role in modern agriculture by identifying and selectively removing weeds from crop fields. These weeding robots help reduce the dependence on chemical herbicides, enhancing application precision and minimizing environmental impact. Portwell's solutions in this domain are designed to support the demanding conditions of agricultural environments, ensuring efficiency, precision, and reliability.

• Portwell’s NURO-812E GPU Edge-AI embedded system with NVIDIA RTX™ 6000 Ada Generation GPU delivers high performance in a small system platform
• Capability to integrate intelligent camera modules and sensors that can rapidly and accurately identify a large quantity of weeds within milliseconds
• Customizable rugged design engineered to withstand harsh conditions, featuring an anti-shock, anti-vibration, and weatherproof enclosure
• Optional customization to incorporate waterproof and dustproof I/O connectors to ensure reliable performance in dynamic weather and operating conditions

• Substantially minimize dependence on chemical herbicides, resulting in environmental benefits, and potential long-term cost savings for sustainable farming operation
• Precisely identify and target weeds, ensuring that the surrounding crops remain unharmed during the process
• The integration of AI technologies and GPU workstations enables the robotic weeder to operate efficiently, covering more ground at a faster pace compared to manual weeding processes, resulting in reduced labor costs
• Specialized custom design and manufacturing services that cater to precise agricultural requirements and needs
• Product longevity support and future-proof product design, ensuring long-term benefits without the necessity for frequent upgrades or replacements

• Portwell’s NURO-823E edge AI system equipped with an NVIDIA RTX™ A6000 GPU card provides robust computational power for AI algorithms and robotics control
• Providing real-time data processing and complex modeling capabilities, which are essential for precise robotic movements during spine surgery
• Delivering greater effectiveness on fine-tuning AI model by facilitating training with specialized datasets directly aligned with the specific requirements of spine surgery, as requested by the customer
• Local data processing by edge computing safeguards sensitive patient information, enhancing privacy and security
• High-speed processing of imaging and sensor data plays a crucial role in enabling real-time adjustments during surgical interventions

• Achieves increased surgical accuracy by providing more precise outcomes in medical diagnostics and treatments compared to cloud-based AI systems, which utilize more generic data during their training
• Enables enhanced diagnosis and decision-making through AI-driven analysis of medical imaging, facilitating early identification of subtle abnormalities and irregularities
• Improves patient outcomes by enabling clinicians to make quicker and more informed decisions through real-time data analysis from medical devices
• Operates effectively in healthcare settings with limited or no internet access, minimizing reliance on network connectivity and ensuring the delivery of medical services in remote or emergency situations
• Reduces operational costs by decreasing dependence on cloud computing resources for data transfer and processing, thereby enhancing data security and privacy