Delivering micron-level accuracy using high-resolution imaging and advanced machine vision algorithms. Designed for modern manufacturing, it ensures precise pin alignment, true position checks, and real-time defect detection—boosting quality and traceability.
high-speed, non-contact inspection using camera and 3D line profilers. Designed to handle up to 150 parts per minute, it enables accurate detection of surface defects, dimensional errors, and foreign materials—eliminating manual errors and improving inspection reliability.
high-speed, non-contact inspection using camera and 3D line profilers. Designed to handle up to 120 parts per minute, it enables accurate detection of surface defects, dimensional errors, and foreign materials—eliminating manual errors and improving inspection reliability.
Stamping Inspection System enables 100% online inspection for reels with up to 12,000 contacts. The system uses multiple cameras positioned for front, top, and side views, achieving accuracy up to 5 µm and an inspection speed of 30 contacts per second.
Our Fastener Inspection System (FIS) automates the inspection process with only one operator to load and collect segregated parts. FIS can measure dimensions like head diameter, shank diameter, shank length, thread length, etc., and defects like notches on peripheral, cracks on the surface, and other punching defects. It can detect the rivet colour and identifies the symbol.
The Spark Plug Inspection System ensures correct sparking distance by detecting dimensional defects. It identifies eccentricity, offset and gap in spark plug. This system can achieve a speed of 180 plugs per minute.
In the Electric Vehicle (EV) sector, the reliability of Load Distribution Units (LDU) and Power Distribution Units (PDU) is crucial. A leading EV manufacturer faced challenges in maintaining high quality while scaling production. We have developed a machine that tests up to 160 parts per hour.
Our advanced vision system, driven by custom machine vision software, revolutionizes triskele connector inspection. The automated camera captures and processes images from multiple positions, ensuring comprehensive defect detection. This automation enhances inspection accuracy to 6.6 µm and increases speed to 10 PPM.
The Toothbrush Inspection System streamlines the inspection process by eliminating errors inherent in manual inspection. With the capability to inspect up to 45 packs per minute, this autonomous system greatly enhances efficiency and accuracy in the toothbrush inspection process.
The O-Ring Inspection System streamlines the inspection process by eliminating manual inspection errors. Capable of inspecting 180 seals per minute, this system operates autonomously, enhancing efficiency and accuracy in the rubber seal inspection process.
The Electric Vehicle (EV) Dashboard EOL inspection system is a specialized solution for assessing EV dashboard clusters. Utilizing cameras for visual inspection and conforming to Unified Diagnostic Services (UDS) and Controller Area Network (CAN) protocol, It checks various screens, detecting defects like dark spots, white spots, pixel damage, and display issues through RGB inspection. The system records operations and stores images and reports in Excel, enabling comprehensive quality control.
The Bearing Seal Inspection System (BSIS) automates the inspection process. This system has the capacity to inspect seals at a rate of 180 seals per minute. Images of parts are processed using specialized algorithms which enable the software to distinguish between good and defective product. A pneumatic ejector is used to remove defective parts while good parts are stacked on the Indexing table.
The vision-based inspection system measures defects by focusing on the top, outer, and inner surfaces of the seal using top, side and bottom view inspection, ID 360° surface inspection, and OD 360° surface inspection. It is fully controlled by a customized machine vision software, effectively distinguishing between good and defective seals.
Vision based inspection system to measure various dimensions of an oil filter like diameter, seam height, gasket protrusion, height with and without gasket. It also identifies the number of inlet holes, check valve presence, relief valve presence and screen printing defects.
Vision system to measure side bend and top bend angles of the windshield wiper arm. This system has precise positioning systems and intuitive machine vision software to provide accurate measurements.
Vision based Inspection System to identify defects in Rivets like Notches, Cracks and Punching Defects. It also identifies the type based on Color and the symbol engraved.
Pump test system is designed to measure pressure / flow characteristics and performance mapping of the oil / water pumps. Control features are pump speed, pressure, flow, oil temperature. System is capable of testing different types of pumps with its adjustable test part area interface.
The Printed Circuit Board (PCB) Assembly which goes into any controller is tested by using bed of nail fixture (also called ICT test fixture). This test is used to check PCB manufacturing defects and bad components using the electrical properties (Open/Short circuit).
High-speed, high-precision, portable data acquisition and processing system for various data logging needs using NI RT and FPGA technologies. Compatible with wide range of sensors and signals. Standard BNC panel board supporting different sensor types makes the connections easy and compact.
High precision test system to test the pressure transducer at various assembly levels to measure linearity, hysteresis, temperature drift, vibration drift, sensitivity and etc.
Automated test system to test oxygen sensor response at different lambda and temperature and measure of Light-off_time, Closed-loop_frequency, Rich_voltage, Lean_voltage, Rich_to_vean_time, Lean_to_rich_time and etc.
