Hanwha Vision, a global leader in video surveillance and security solutions, has launched the Q series AI 5MP fixed cameras that utilise AI for object and attribute colour detection, enhancing forensic search and event responses. There are six models available in the range including dome, vandal dome and bullet forms, all with enhanced durability and next-level cybersecurity. Operators can now locate certain objects and attributes by colours, including clothing (upper/lower) and vehicles, significantly reducing investigation times in complex scenes. Users can apply nine distinct colour filters to streamline searches. For example, identifying a “red car” or searching for a person based on their trouser colour is now faster and more precise. The cameras feature BestShot technology, which leverages AI to intelligently capture the highest-quality images of classified objects. This capability is paired with detailed metadata generation, enabling rapid searches. Business intelligence features such as heatmapping, people/vehicle counting, and queue management provide key insights for a variety of industries, including smart cities, retail and manufacturing. Area and route usage can be evaluated, alongside scene hotspots to inform site layouts, scheduling, maintenance and more. The Q series AI 5MP fixed cameras also feature virtual line-crossing and loitering detection, with automated alerts signalling when an operator may need to investigate an event further. The cameras have a wide field of view which complements the analytics, providing operators with a comprehensive overview of a scene and objects or events of interest. John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, said, “This is an exciting addition to the Q series AI range. Colour detection of clothing and vehicles enhance situational awareness, response times, and investigations. Operators will benefit from the comprehensive and detailed coverage that these cameras provide along with business intelligence insights that will boost long-term efficiency and planning.”