eCommerce/Retail

We have delivered millions of data points for various leading eCommerce portals. Our teams improve their customers’ experience through better search results, precise product listings and an always-on, efficient customer support desk. Keep your customers safe and your marketplace data current with our business intelligence, fraud detection, review moderation, tagging and enrichment services.

• Our platform annotate images of shop shelves by labelling each object using bounding boxes. We then create training data sets to support AI/ML models for smart shelving systems in retail stores.
• To reduce theft in retail stores, there are models which require to analyze behavioral action of shoppers. Using key points and bounding boxes we can train these models and bring down these instances with high degree of accuracy.
• With accurate bounding boxes we can label objects on conveyor belts thereby building models to enable smart logistics applications.
• Intellekt’s content work, relevant to product data matching, keeps e-commerce listings current, in real-time, and provides a competitive advantage for merchants when it comes to product pricing.

Healthcare

We support leading medical technology companies and healthcare AI startups to deploy AI/ML solutions and take your Medical AI from the lab to the bedside.

• We help build companies use computer vision to differentiate benign and malignant ovarian masses in Ultrasonography
• Digital pathology is undergoing a revolutionary change with the introduction of deep learning based pattern recognition and Intellekt helps rendering histology slides that enables some of the largest companies to easily create high quality training data with domain experts.

Autonomous Vehicles

Our teams perform dense pixel semantic segmentation on millions of street images for various HiTech Autonomous Driving Applications. These image datasets train our client’s driverless car algorithms not just to ‘see’ but to interpret their environment and increase safety for passengers.

• We annotate objects like vehicles, pedestrians, etc. in an image or video using to enable object detection in autonomous vehicles
• We localize and extract number plate information from vehicular images using bounding box technique
• Signboards and traffic lights are crucial for autonomous vehicles. We annotate Signboards and traffic lights these images accurately using bounding boxes which are then used for training the models using in self driving cars.
• With polyline annotation, Wwe draw lines and splines over lanes & sidewalks for enabling lane differentiation in autonomous vehicles using polyline annotation using our tools.
• We train Facial Detection algorithms Autonomous vehicles on images captured by have in-cabin cameras for monitoring driver’s movement and activities like a distraction, drowsiness, emotion, head/eye gaze, etc.
• Computer vision in Advanced Driver -Assisted Assistance Systems and Autonomous vehicles (ADAS) require handling of sensors like radar and LiDAR. We annotate sensor data, especially LiDAR data using various techniques. We also annotate pedestrians, road signs, cross-walkspedestrians, traffic dividing lines, and adjacent vehicles to enable computer vision in ADAS applications like collision warning, parking assistance, road sign detection, pedestrian detectionstopping at traffic signals etc., collision warning and parking assistance.

Augmented Reality/ Virtual Reality

Our team of specialized data experts have annotated over millions of images to date, outlining specific areas of the human eye and hand as polygons, to help train various AR/VR algorithms.

• Games and AR/VR applications require scene recognition as well as object recognition. With our set of experienced annotators, we can collect multiple images of various scenes or settings which your algorithm requires to recognize: living room, bathroom, kitchen, bedroom, park, swimming pool, etc.
• We also provide landmark annotation, also known as keypoint annotation, for facial recognition and movement prediction in AR games and mobile apps. There are several AR games and apps that require computer vision models that can accurately recognize faces and facial expressions.

Finance & Insurance

Our expert teams enrich thousands of text datasets every month for the world’s leading financial information company. We bring clarity and insight by including missing data, cleaning existing data or combining automated data extraction processes with expert human judgment.

Insurance providers can develop Machine Learning use cases to automate painful manual tasks and costly workflows. This includes claim processing, document digitization, underwriting, insurance advisory, customer acquisition and support.

Roof inspection and outdoor inspection for homes and offices is very slow and costly. Companies use us to build ML models to understand the quality of structure about any address in the world.

Agritech

We label agricultural produce, equipment’s and other soil elements using our tools to produce training datasets for AI/ML models in building sustainable agricultural solutions.

• Perception models can ease the task of crop detection. We differentiate Ccrops and weeds can now be differentiated and by label the images using bounding boxes to and creating process quality training data. This can be then put in a model to detect crops.
• We analyze crops, fruits and vegetables and label it based on its stage of growth. Using this labelled data we tTrain the model ing data thus so that it can predict the harvesting period and save tremendous wastage and costs.processed are used to enable tracing modules in Agritech used for continuous field analysis.
• Using Computer Vision its really easy to monitor real time Real-time monitoring of plant’s health is now an easy task with computer vision. We process the training dataset for these specific models by analyzing plants and annotating its key attributed sound or affected part using various annotation techniques.
• It’s important to understand the health of the animal and their adaptability to environmental changes. We help analyze data from surveillance camera footage to provide the animals with the health and care needed.

Defense

Intellekt is supporting companies building computer visionAI algorithms that will speed up analysis of satellite and aerial imagery. These models are then applied to assess the damages done houses, roads and buildings caused by natural disasters.

Our annotation experts have worked on a wide variety of machine learning use cases to support ground, air and marine autonomy as well as satellite, drone and point-of-interest imagery analysis.

Law

Our teams work with the world’s leading online legal research service. We have enriched the raw information on several cases, standardizing their name and matching their filing date and jurisdiction to the remediation of each case. Our teams have achieved 99% accuracy on projects, and helped improve the search relevance of the service, providing actionable business intelligence to our client’s subscribers.

Sports

Using advanced annotation techniquestechniques, we have been able to help Tech companies in improving their performance through the analysis of game footage.

• We have created accurate 3D models for over many players, based on thousands of images. These are then applied to models and it becomes as a foundation for historic and ongoing in-game analysis.
• We label various actions of players from previous game video footages using bounding boxes and other techniques to process quality training data used for train AI enabled ing real-time tracking modules on fields.
• AI coupled with sensor technologies can help the coaches to analyze each players technique and then work on improving his performance.