Manually extracting and entering data from physical documents is time-consuming and prone to errors. This creates inefficiencies in industries such as banking, insurance, and government services that rely heavily on documentation PeerMe has developed a Document Scanning System that uses Optical Character Recognition (OCR) to automatically extract key details (name, address, image) from documents.

• Optical Character Recognition (OCR): For text extraction from documents.
• Data Extraction Algorithms: For structuring the extracted data

Enforcing speed limits in urban and highway settings is a major challenge for traffic departments. With limited resources for manual monitoring, many violations go undetected, leading to dangerous driving conditions and accidents. Moreover, the process of issuing penalties often involves manual verification, which is time-consuming. Our AI-based speed detection system continuously monitors vehicle speeds and captures images of any violator along with their license plate. The system logs speed violations automatically and issues penalties without manual intervention.

Technologies Used:

• Speed Detection Algorithms: Measures vehicle speed
• License Plate Recognition (LPR): Captures and identifies violators’ vehicle numbers

E-commerce sellers struggle with high model cost, photographer cost and setup cost for photoshoot of their products. User may discard products due to customers being unsure how clothing will fit or look on them. The AI Fashion Model allows users to upload an image of a dress, and any image of model of different pose, the system generates the model wearing that dress. This provides customers with a visual representation of how the clothing might look on a person, helping them make more informed purchasing decisions.

Technologies Used:

• Generative AI: For creating realistic images of models wearing the dress.
• Deep Learning: For dress and model image synthesis

Traditional news broadcasting requires significant human resources to produce live news segments. It can also be costly to hire anchors for 24/7 news channels. Furthermore, engaging viewers with dynamic facial expressions and gestures is a challenge in fully automated news systems. We have developed an AI News Anchor app that can read scripted news with dynamic facial expressions and hand gestures. It mimics human-like movements and adjusts expressions based on the tone of the news, creating a more engaging experience for viewers.

Technologies Used:

• Natural Language Processing (NLP): For reading news text
• Facial and Gesture Animation: For simulating realistic facial expressions and hand movements

Industries dealing with freight often face difficulties in estimating the volume of cargo loaded into trucks, wagons, or carts. This leads to under- or over-utilization of cargo space, which increases transportation costs and reduces operational efficiency. PeerMe has developed an AI-driven Volume Mapping System for one of its clients in the middle east. The app analyzes the cargo inside wagons or trucks and accurately estimates its volume in real-time. This helps ensure proper space utilization and reduces the inefficiency in freight transportation.

Technologies Used:

• 3D Vision - For depth sensing and cargo volume estimation
• Volumetric Analysis - To calculate and report cargo volumes

Urban areas face parking shortages and inefficiencies in allocating available parking spots. Drivers often spend time searching for parking, which increases congestion and fuel consumption. Manual management of parking spaces is also prone to errors and inefficiency.
Our AI-based Parking Allocation System has been implemented in some of the luxurious residential and commercial projects. The app monitors parking lots in real-time using camera input and identifies vacant or occupied spots. It provides drivers with accurate parking availability, reducing the time spent searching for parking.

Technologies Used:

• Object Detection: To detect vehicles and parking spots
• Real-Time Monitoring: Continuous monitoring of parking lots via camera input.

Railway freight management is often inefficient due to manual monitoring of wagons in a rake. This creates delays in counting wagons and classifying the cargo. Additionally, human errors in categorizing wagons (whether empty, full, or carrying additional substances) can lead to incorrect data entry, causing delays in logistics and shipment planning.
The AI-powered Wagon Detection System automates the process of monitoring a rake. As the rake passes through a camera, the system automatically counts the wagons, captures images of each, and classifies them based on their cargo. The system categorizes wagons as empty, full, or carrying other substances or animals.

• Technology: Computer vision, object detection, image classification

Accurate diagnosis of certain hair or skin diseases can be difficult and may require multiple consultations. Traditional methods rely on manual examination, which can be time-consuming and subjective.
PeerMe in collaboration with one of its clients has developed a Disease Prediction AI model that analyzes images of patients taken from eight different angles. This approach helps detect diseases based on patterns in hair or skin, improving diagnosis accuracy for dermatological conditions.

Technologies Used:

• Computer Vision: To process multi-angle images and detect visual indicators of diseases.
• Convolutional Neural Networks (CNNs): For image recognition and pattern detection in hair or skin diseases.
• Medical Image Processing: For analyzing features specific to dermatology.

Inventro is a customizable inventory management solution built for small and medium scale industries. The solution allows SMBs to lower their overall IT infrastructure expenditure by streamlining the manufacturing and assembling processes.

CEM is an android app that records expenses during any type of civil construction. Ideal for any individual building their dream house.

CEM-Pro is a user friendly android app that records expenses of multiple civil constructions. Best companion for builders and contractors with multiple projects and sites.