Case Studies
Explore our extensive portfolio of industrial deployments, academic research prototypes, and enterprise tech solutions. Scroll to discover the details.
Autonomous Pick & Place Robot
A robotic arm integrated with real-time computer vision to automate industrial assembly line sorting and placement.
The Problem
A local manufacturing client faced severe bottlenecks on their packaging line. Manual sorting of differently shaped components was slow, error-prone, and led to a 15% drop in daily packaging throughput.
The Architecture
We engineered a custom 3D-printed 6-DOF robotic arm. Using an overhead camera processing feeds through OpenCV, the system identifies the geometry of parts on a moving conveyor. ROS2 orchestrates the inverse kinematics, calculating the exact joint angles required to intercept and grip the moving objects.
The Impact
Deployed successfully in Q3. The system operates with 98.7% sorting accuracy. It eliminated the packaging bottleneck entirely, resulting in a 40% increase in daily throughput and a projected ROI of less than 8 months for the client.
Smart Agriculture Disease Detection
A deep learning pipeline designed to analyze aerial drone imagery and instantly detect early signs of blight and disease in crop fields.
The Problem
Farmers managing hundreds of acres cannot manually inspect crops daily. By the time leaf blight is visible from the ground, the infection has usually spread, requiring massive, expensive, and environmentally harmful chemical intervention.
The Architecture
We trained a custom YOLOv8 object detection model on a dataset of 50,000+ agricultural images. UAVs capture multi-spectral images of the fields and upload them to our cloud pipeline. The model runs inference via FastAPI, returning GPS coordinates of infected zones to a web dashboard.
The Impact
Field tests achieved a 97.3% detection accuracy. By targeting only the specific infected GPS coordinates rather than spraying the entire field, farmers reduced pesticide use by 65%, saving capital and protecting the local water table.
Global Enterprise HR Dashboard
A full-stack, real-time analytics platform visualizing employee demographics, attrition rates, and salary distribution across multiple global offices.
The Problem
A multinational corporation was struggling to parse fragmented Excel spreadsheets from regional HR departments. Executives lacked a unified view of company health, leading to slow decision-making regarding hiring and retention.
The Architecture
Our software engineering team, led by Rajat and Tushar, built a unified data pipeline. We used Python (Pandas) to clean and normalize the fragmented CSVs. The frontend was constructed using Next.js for the main portal and Streamlit for the rapid deployment of interactive data visualization widgets (Plotly).
The Impact
The dashboard consolidated 2.4 million rows of historical HR data into a single pane of glass. Executives can now filter attrition risks by department in real-time, reducing reporting overhead by 80 hours per month.
Smart Campus Energy Grid
A campus-wide mesh network of sensors monitoring real-time environmental data, energy consumption, and room occupancy for predictive utility management.
The Problem
A prominent university in Dehradun was facing exorbitant energy bills. Classrooms and labs were frequently left with HVAC and heavy lighting systems running overnight or when completely empty, resulting in massive energy waste.
The Architecture
We designed custom PCBs featuring ESP32 microcontrollers paired with PIR motion, temperature, and current sensors. Because of the campus size, we used LoRaWAN for long-range, low-power data transmission. Data is aggregated via an MQTT broker and visualized on a central Grafana dashboard for the admin team.
The Impact
The system allowed automated shut-off protocols for empty zones. Within the first semester of deployment, the university recorded a 32% reduction in overall energy consumption, entirely offsetting the cost of the hardware installation.