Face Detection/Recognition and eKYC Verification App Development

Only highly experienced people may bid here.

25% of the total amount will be given to you after you complete 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 released without checking your work on my project.

Our app could be used for eKYC verification using Aadhaar Card Number, PAN Number, Voter Card, Driving License. Where we will upload the image or small video of the i.d card holder into the database and one i.d proof of that person, then app should be able to detect the face of the person and verify that person's photo and his photo i.d proof is same.

App should be able to detect colors, weather, activities and moments also through live CCTV Camera feed.

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.

There should be an admin account and user account. Admin should be able to monitor any user account parallelly. Admin should have rights to add or remove any user. There should be a key from Admin side and after submitting that key only, user account will be activated.

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.

Kemahiran: Kecerdasan Buatan, Pengecaman Wajah, Java, Pembelajaran Mesin, Python

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Tentang Majikan:
( 7 ulasan ) New Delhi, India

ID Projek: #14211820

15 pekerja bebas membida secara purata ₹34003 untuk pekerjaan ini

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Hi Have a look on our recent and similar work samples : Android: [login to view URL] [login to view URL] (Passenger) h Lagi

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You cut and pasted an ad blurb from [login to view URL] or [login to view URL] ... You're asking for source code to an entire product line like those companies offer, but you want to pay under 500$US for this? Using a deep-l Lagi

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Greetings sir, i am an expert freelancer for this job and your 100% satisfaction is assured if you allow me to serve. Here is the reason. Why you should pick me? a) I am a very expert and have the same kind of ex Lagi

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Hello, sir. I have read your requirement in detail and i think i am very similar on this project. I am computer vision expert with 7+ years and have deep understanding on c/c++, especially machine learning and openc Lagi

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Dear Sir Good day please go through the Our Company Profile Saakhi Web App Solutions Pvt Ltd Was Launched in feb 25th2016 ,We Started Our Operations from Calicut and We have expanded operations to Cochin also .we Lagi

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Dear Client, We are glad to provide you our expert domain services to fulfill your requirements. We have a team of certified developers and we can complete your project quickly. We have already worked on simi Lagi

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Give me a try. I am new here but I am serious. I can build this app for you. I can also negotiate as I am doing this project for rating. We can discuss more details over chat.

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I'm a MS student pursuing Data Informatics at USC and I've finished a project on facial emotion recognition and have worked with various Machine Learning concepts. I believe I can do a good job as I've already worked w Lagi

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