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#ObjectTracking
nexgitspvtltd · 7 months
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Unlocking Object Tracking: From Initialization to Termination.  Each step plays a crucial role in seamless object tracking. 
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kaciseonline · 11 months
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Efficient Object Tracking Made Easy with the KUS3100 Ultrasonic Proximity Sensor
Welcome to our latest blog post, where we're excited to introduce the KUS3100 Ultrasonic Proximity Sensor! If you're in need of a reliable and efficient solution for object tracking, this cutting-edge sensor is here to revolutionize your operations. With its advanced features and user-friendly design, the KUS3100 is a game-changer in the field of proximity sensing. In this article, we'll explore the key benefits and capabilities of the KUS3100, and why it's the ideal choice for your tracking needs.
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Unparalleled Accuracy:
The KUS3100 Ultrasonic Proximity Sensor boasts unrivaled accuracy, making it perfect for precise object tracking. Equipped with advanced signal processing algorithms, this sensor can precisely measure distances with high precision, providing you with reliable data to track objects in real-time. With a detection range of up to 3 meters, the KUS3100 ensures that no object goes unnoticed.
Versatility and Adaptability:
One of the standout features of the KUS3100 is its versatility. Whether you're tracking objects in industrial automation, robotics, or even security systems, this sensor is up to the task. Its adjustable sensing parameters allow for easy customization, making it adaptable to various environments and applications. With the KUS3100, you can effortlessly monitor objects, regardless of their size, shape, or material composition.
User-Friendly Interface:
Simplicity meets efficiency with the KUS3100's user-friendly interface. Setting up and configuring the sensor is a breeze, thanks to its intuitive controls and clear display. The sensor provides real-time feedback and allows you to fine-tune the settings to match your specific tracking requirements. With its plug-and-play functionality, you can quickly integrate the KUS3100 into your existing systems without any hassle.
Enhanced Reliability:
Reliability is key when it comes to object tracking, and the KUS3100 delivers. Designed to withstand challenging operating conditions, this sensor is built to last. Its robust construction ensures durability, while its advanced technology minimizes false readings, providing accurate tracking data consistently. Say goodbye to unreliable tracking methods and trust the KUS3100 to keep your operations running smoothly.
Cost-Effective Solution:
Investing in the KUS3100 Ultrasonic Proximity Sensor is a cost-effective choice for your tracking needs. With its high performance and versatility, this sensor eliminates the need for complex and expensive tracking systems. By streamlining your operations with the KUS3100, you can optimize efficiency while reducing costs, ultimately boosting your overall productivity.
Conclusion:
When it comes to efficient object tracking, the KUS3100 Ultrasonic Proximity Sensor is the ultimate solution. With its unparalleled accuracy, versatility, user-friendly interface, reliability, and cost-effectiveness, this sensor is the perfect choice for a wide range of applications. Say goodbye to inefficient tracking methods and embrace the power of the KUS3100 to streamline your operations. Visit our website at KC Sensor to learn more about the KUS3100 and how it can revolutionize your tracking capabilities.
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learnopencv1 · 2 years
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Arguably, the most crucial task of Deep Learning-based Multiple Object Tracking (MOT) is not to identify an object but to re-identify it after occlusion. There are a plethora of trackers available to use, but not all of them have a good re-identification pipeline. In this blog post, we will focus on one such tracker, FairMOT, that revolutionized the joint optimization of detection and re-identification tasks in tracking.
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computrik · 1 year
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Alastair Macleod left the wireless receiver for the joysticks at home, so we worked on the basic unreal integration and latency at the weekend at Astro with James DeFina and Ashton. Shogun has an "advanced" property on a prop called "Track with ObjectTracker" which seems to improve the latency. A new feature just added is having the joystick data to work "In Editor" in unreal, so you you don't need to hit play to get the updates/events.
(via (3) Post | Feed | LinkedIn)
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selvarajsblog-blog · 6 years
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[ PFTrack Object Tracking ]
I have used PF Track for tracking, modeled and rendered in Autodesk Maya and composited in Adobe After Effects, this is one of the composited shot from my VFX work.
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Matchmove Composition Shot
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wisepl · 4 years
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Number Plate Detection. We are providing number plate annotation for machine learning developments clients. We can annotate as per the demands like License plate, Vehicle type, Make etc. We were also asked to annotate vehicle name, model, color of the vehicle etc.. from our previous clients. mostly this kind of annotation are a bounding box annotation task with guidelines for bounding boxes and annotations. The problems can be tackled using the Object Detection approach where we need to train our model using the car/other vehicle images with number plates. If you are looking to outsource Annotation services, contact us right away. #imageannotation #numberplateannotation #numberplates #vehicles #autonomousdriving #selfdriving #machinelearning #computervision #deeplearning #datalabeling #objectrecognition #objecttracking #cars #dataannotation #annotationpartners #automotive #ai_data_training https://www.instagram.com/p/CIkWuqulwcc/?igshid=1hwpfnmydy60
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Vehicle Detection Using Convolutional Neural Network | Vision-based vehicle detection
The basic objective of this video is to detect a Vehicle from a dashboard video. Object detection is a fascinating learning experience in computer vision. We have developed a PoC - Proof of Concept to detect vehicles. Hence this vision based vehicle detection enables to identify and traces the vehicles also from surveillance camera.  
 You can talk to our expert team for free consultation visit us on https://bit.ly/3jf8nF0
We are here to help you.Join us on our next project
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mdifilm · 4 years
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Just received this @zhiyun_tech Smooth X to test it out. A 2 axis gimbal and it’s actually good. It has all the traditional features with the new zy cami app. It also connects via Bluetooth and can do a really good object tracking, vertical/horizontal mode switch, hand gesture to start recording and different short clip templates for you to create some fun visual. #zhiyun #smoothx #zhiyunsmoothx #phonegimbal #objecttracking (at Media Design Imaging) https://www.instagram.com/p/CCJgL_GJ4Bb/?igshid=1x6pmo0957szn
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dyselectronic · 4 years
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New 360-degree Object Tracking Holder #objecttracking #objecttrackingholder #objectholder #objectholderdesign https://www.instagram.com/p/CA7SRZEjENA/?igshid=1c7zvu91o1gup
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incegna · 4 years
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Computer vision is an interdisciplinary scientific field which deals with how computers can be made to gain high-level understanding from digital images or videos. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. Check our Info : www.incegna.com Reg Link for Programs : http://www.incegna.com/contact-us Follow us on Facebook : www.facebook.com/INCEGNA/? Follow us on Instagram : https://www.instagram.com/_incegna/ For Queries : [email protected] #machinelearning,#computervision,#supervised,#Facerecognition,#Imageretrieval,#Gaming,#Surveillance,#Biometrics,#imageclassification,#objectdetection,#objecttracking,#Semanticsegmentation,#Instancesegmentation https://www.instagram.com/p/B9Vz6c-AdSt/?igshid=gir0fm6hj6oc
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ijtsrd · 5 years
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Deep Learning for X ray Image to Text Generation
by Mahima Chaddha | Sneha Kashid | Snehal Bhosale | Prof. Radha Deoghare "Deep Learning for X-ray Image to Text Generation" 
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, 
URL: https://www.ijtsrd.com/papers/ijtsrd23168.pdf
Paper URL: https://www.ijtsrd.com/engineering/information-technology/23168/deep-learning-for-x-ray-image-to-text-generation/mahima-chaddha
call for paper technology, technology journal, indexed journal
Motivated by the recent success of supervised and weakly supervised common object discovery, in this work we move forward one step further to tackle common object discovery in a fully unsupervised way. Mainly, object co localization aims at simultaneously localizing the objects of the same class across a group of images. Traditional object localization detection usually trains the specific object detectors which require bounding box annotations of object instances, or at least image level labels to indicate the presence absence of objects in an image. Given a collection of images without any annotations, our proposed fully unsupervised method is to simultaneously discover images that contain common objects and also localize common objects in corresponding images. It has been long envisioned that the machines one day will understand the visual world at a human level of intelligence. Now we can build very deep convolutional neural networks CNNs and achieve an impressively low error rate for tasks like large scale image classification. However, in tasks like image classification, the content of an image is usually simple, containing a predominant object to be classified. The situation could be much more challenging when we want computers to understand complex scenes. Image captioning is one such task. In these tasks, we have to train a model to predict the category of a given x ray image is to first annotate each x ray image in a training set with a label from the predefined set of categories. Through such fully supervised training, the computer learns how to classify an x ray image and convert into text. 
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nexgitspvtltd · 7 months
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zinkase · 7 years
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◉‿◉ Here it is, finally! the app I've been working on with my friend in our spare time: That's mine! Sharing things is great, but make sure you know who has your things! https://play.google.com/store/apps/details?id=com.bitwinkel.thatsmine
That’s mine! Will allow you to know who you lend your items to. Take note of everything you lend through the different categories available, such as videogames, books, films, records, clothes, money, notes,…So then you will know who to ask to when you want to get your items back.
★★★★★ Take this opportunity to download the app for free! (for a limited period of time)
hastags time! 
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videolane · 4 years
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I tested the object tracking feature on the MOZA Mini MX with my old $300 Xiaomi Android One phone... It works! ...full review coming soon on YouTube ⏩ https://bit.ly/3gMWCob #MozaMiniMX #ObjectTracking #FaceTracking #PhoneGimbal #Tech #Review #Gudsen #Xiaomi #XiaomiMiA1 #Android #smartphonegimbal #gimbalstabilizer #camera #videography #starwars #xwing https://www.instagram.com/p/CCfGDcFHSfs/?igshid=hod41z2hqso8
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pchensoftware · 6 years
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Object Tracking Algorithms
https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection
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ianalexanderme-blog · 6 years
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Gettin’ weird in the studio last night. 🤪💡#cameramapping #test #objecttracking #3dsmax #c4d #octanerender (at Los Angeles, California)
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