• T. H. Feiroz Khan
• Punit Dubey
• Anshul Mishra
• Raj Kumar Sharma

Objectifier Spatial Programming (OSP) looks after to train objects in their daily environment to respond to different unique behaviors. It gives a much like experience of training an artificial intelligence, a shift from a passive consumer to an active consumer, playful director of domestic technology. Interacting with Objectifier is just like training a dog - you teach it only what you want it to care about. Just like a dog, it sees and understands its environment. With PC vision and a neural system, complex practices are related with your direction. For instance, when you need to turn on your radio with your most own made move. Interface your radio to the Objectifier and utilize the preparation application to demonstrate to it when the radio should turn on. By this, people will have the capacity to encounter new intuitive approaches to control objects, fabricating an inventive association with innovation with no programming efforts just training the artificial intelligence.

open systems, Processing, Wekinator, ml4a, node.js and p5.js, Raspberry Pi, Automation, Smart home

"OBJECTIFIER SPATIAL PROGRAMMING USING NEURAL NETWORK AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.718-721, September-2018, Available :http://www.jetir.org/papers/JETIR1809749.pdf

"OBJECTIFIER SPATIAL PROGRAMMING USING NEURAL NETWORK AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp718-721, September-2018, Available at : http://www.jetir.org/papers/JETIR1809749.pdf