Machine learning app needed for Image Detection on Camera

25% of the total amount will be given to you after you coomplete 50% of the total work. No amount will be increased for this project at any cost. No project will be awarded or no milestone will be relesed without checking your work on my project. Our professional users should be able to use this technology to find suspects within sometime of an incident, out of thousands of hours of footage from diverse camera feeds. This same accuracy is now available to your home and business customers to make their own video footage more useful, usable and relevant. We need these features to be added into our app. We should be able to have the automatic ability to classify and refine query results by object types, such as people, vehicles, packages, etc. Users should be able to submit queries such as “show me trucks” or “show me people wearing red.” Every new feature creates superb differentiated value, unique to each partner’s needs. Quick review This should not be fast forward: it’s all in one rapid video review. Advance scheduling Proactive rapid video review to “know what you didn’t know before” Deep drill down We should be able to Search the day in minutes. Select events and access the original video in a single click. Alert configuration It should Send notification of unusual activity. Gain insights There should be a feature of Graphic visualisation of data analysis (heat maps, pathways, bar graphs, etc.) Share clips Users should be able to One-click export of video clips to email or social media. Filtering out noise to know what’s important. To limit the false detection of new objects in a frame, we’ve learned how to filter out the movements in the environment – such as branches, shadows, reflections, waves and clouds. Handling complex lighting conditions on the fly. Every scene is different- we’ve developed the capacity over the years to handle thousands of scenes… lighting conditions and weather conditions for example (you’d be surprised how snow and rain impacts the accuracy of computer vision!). Detecting subtle and camouflaged objects. We can identify very small subtle objects, down to the level of small creature. and, while an object in the frame that is appearing against a background of the same color is a difficult task – over the years, our detection has become very sensitive to subtle differences in color and texture. Knowing what goes together to create a single incident. If a person “disappears” from the frame for a period of several seconds, as they pass behind a car or a tree, we detect that and treat it as one incident. If the person goes in and out of the frame boundaries, we treat it as separate object incidents. Extended capabilities through third party metadata. We connect video time stamps to metadata from other systems to create tight custom integrations. For example, if you have an ID badge system in your small business application, we can pair that information to video. The same goes with audio feeds, motion sensors, smoke detectors and more. Not only do you have the alert from the third party feed, but the video of what happened at that exact moment, along with more efficient presentation and rich query formulation capabilities.