AI powered image recognition technology, combined with machine learning, is revolutionizing automated systems across various industries by enabling real time object identification with continuously improving accuracy. Machine learning not only enhances efficiency but also provides adaptive solutions for security, logistics, and industrial automation, facilitating fast and reliable decision making.
Our service specializes in the development and integration of AI-based image recognition systems, with a strong focus on embedded systems and real time object identification. In a previous project, we developed a mobile image processing system and backend API optimized for a Jetson Orin target device, processing live video footage from a camera and identifying visible objects. Building on this expertise, we offer a comprehensive service package that includes designing, developing, and implementing machine vision based systems for both mobile and embedded environments, along with establishing the necessary backend infrastructure. Our goal is to provide tailored AI solutions built on the latest technologies, ensuring accurate and efficient object recognition in real time applications.
AI powered image recognition and machine learning technologies are providing innovative solutions across various industries, especially where automation and real time decision making are critical.
AI based image recognition systems can assist small businesses by analyzing security camera footage, automatically detecting events, identifying objects, or recognizing recurring customer behaviors.
AI can automate warehouse operations, such as inventory tracking and object monitoring, ensuring faster and more accurate processes.
Construction companies can use simple camera-based solutions to monitor site safety and progress. AI can automatically detect missing protective gear or completed work phases, ensuring deadlines and safety regulations are met.
AI powered medical diagnostic tools analyze skin conditions, X-rays, and ultrasound images, assisting doctors in making faster and more accurate diagnoses.
The system analyzes real-time images or videos from cameras or other visual sources and, using machine learning, identifies and categorizes the detected objects. Processing can take place either locally on an embedded device or in the cloud, depending on the client’s requirements.
The solution is fully customizable for specific use cases. The algorithms can learn to recognize specific objects, events, or patterns, making the system easily adaptable to various industries such as security, healthcare, or industrial applications.
The cost of the system depends on its complexity. A simpler solution built on an embedded device (such as Jetson Orin) can be implemented at a relatively low cost, whereas a larger, scalable system with cloud integration and multi-stage analysis requires a higher investment.
The deployment timeline depends on the complexity of the project and specific client requirements. A smaller, standardized system can be implemented within a few weeks, while a customized, large scale system may take several months for installation and fine tuning.