Blog about Recognition Technologies

Image recognition often looks impressive in demos. In real systems, its value shows up when algorithms support reliable decision-making within everyday operating conditions: speed, accuracy, privacy, and constrained infrastructure.  In delivery projects, these conditions often repeat. Companies solve similar tasks around on-device processing, real-time recognition, and data protection, and over time, these practical solutions shape how image recognition is designed and adopted across...

Facial recognition technology was a product of fiction for most people just about 20 years ago. However, it’s not new – the first solution was made around the 60s.  What started as a technology that recognized faces from newspapers and drawings evolved into today's greatest surveillance and personalization tool. At this point, facial recognition is widely implemented by different companies...

Image recognition is rapidly transforming industries ranging from healthcare to retail, and the market is expected to grow to more than USD 105 billion by 2028.  However, there are still a large number of image recognition problems to solve. At CHI Software, our AI/ML team is constantly challenged to overcome these obstacles and focuses on improving solutions and increasing the...

You have probably heard about the rapid progress in AI for analyzing human faces. Facial recognition, emotion detection, age estimation – the list goes on. At first glance, these technologies seem incredibly useful, even magical. However, it is important to understand the limitations of face recognition accuracy to avoid potentially harmful misuse. AI models are only as good as the data...

Have you ever wondered how smartphones alert people with auditory impairments to critical sounds like smoke alarms, baby cries, or doorbells? That is sound recognition technology in action, powered by machine learning (ML).  The tech enables computers to accurately identify and categorize music, human speech, and environmental noises. A recent study found that an AI audio recognition model could correctly...