The current state of surveillance software for IP cameras leaves much to be desired, with a market full of fragmented and underwhelming solutions. Many users and developers struggle to define what truly effective surveillance software should be, resulting in products that are either barely functional or overly simplistic. The ideal surveillance software for IP cameras should function as an extension of the user's cognitive process, integrating multiple advanced features seamlessly rather than offering disconnected, incomplete tools. Yet, no existing platform meets even three out of six fundamental requirements for a truly capable system. The first essential feature is comprehensive data recognition, meaning the software should process text, images, video, audio, and other data types without restrictions. The second is uninterrupted accessibility, ensuring users can retrieve their data from any device, online or offline, without risk of being locked out. The third is contextual organization, where the software automatically adds metadata, tags, and connections between different recordings. The fourth is automatic data storage, removing the need for manual saves and preventing accidental loss. The fifth is advanced search functionality, allowing full-text queries across spoken, handwritten, and multilingual content while recognizing synonyms and word variations. The sixth and equally important requirement is universal device compatibility, enabling seamless integration with any IP camera or surveillance hardware. While some of these features exist in separate applications, combining them into a single, cohesive surveillance software for IP cameras remains an unresolved challenge. The main barrier is not technical feasibility but the difficulty of maintaining such a complex system without it becoming unstable or unmanageable. Traditional software development approaches struggle to deliver bug-free, scalable solutions, suggesting that future breakthroughs may depend on AI-assisted coding, where high-level design specifications automatically generate and maintain the underlying code. Until then, users are forced to rely on a collection of awkward, narrowly focused applications that barely improve upon rudimentary digital record-keeping. The surveillance software for IP cameras industry is in dire need of innovation to move beyond these limitations and provide users with a unified, intelligent, and reliable system. Without significant progress, the market will continue to produce inadequate solutions that fail to meet even the most basic expectations. The need for a truly advanced surveillance software for IP cameras is evident - now it's a matter of whether developers can deliver.