Seminar Hall
Area:
143 sq. mt.
Seating Capacity:
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124
Facilities:
UG Laboratory 1A
Area:
77 sq. mt.
Capacity:
![]()
24
Description:
![]()
Desktops: Acer Veriton – 24 Nos – Intel Core i5, 8GB RAM, 1TB HDD![]()
Microprocessor components: All-in-one boards – 18 Nos, CROs – 6 Nos, Microcontroller kits – 10 Nos, ARM controller kits – 6 Nos, IoT kits – 15 Nos![]()
UPS: 1 shared, 10KVA Online
UG Laboratory 1B
Area:
77 sq. mt.
Capacity:
![]()
24
Description:
Desktops:
![]()
Dell Optiplex SFF (Plus 1010) – Intel Core i7, 16GB DDR3, 1TB M.2 2230 SSD, 20” LCD – 1 No
Lenovo Core i5-7500 – 8GB DDR4 RAM, 1TB HDD, 21.5” LED Monitor![]()
HP 280 G6 – Intel Core i5, 8GB RAM, 512GB SSD, 19.5” TFT Monitor
![]()
HP ProDesk 400 G6 – Intel Core i7, 16GB RAM, 512GB SSD, 19.5” TFT Monitor
![]()
Projector: 1 No.![]()
UPS: 1 shared, 10KVA Online
UG Laboratory 2A
Area:
77 sq. mt.
Capacity:
![]()
24
Description:
Desktops:
![]()
Dell Optiplex SFF (Plus 1010) – Intel Core i7, 16GB DDR3, 1TB M.2 2230 SSD, 20” LCD – 1 No
![]()
HP 280 G3 MT – Intel Core i5 3.40GHz, 8GB DDR4 RAM, 1TB HDD, 18.5” LED Monitor
![]()
Projector: 1 No.![]()
UPS: 1 shared, 10KVA Online
UG Laboratory 2B
Area:
77 sq. mt.
Capacity:
![]()
24
Description:
Desktops:
![]()
HP 280 – 18 Nos – Intel Core i5-7500, 8GB DDR4 RAM, 1TB HDD
![]()
HP 280 G3 MT – Intel Core i5 3.40GHz, 8GB DDR4 RAM, 1TB HDD, 18.5” LED Monitor
![]()
UPS: 1 shared, 10KVA Online
PG Laboratory 3A
Area:
71 sq. mt.
Capacity:
![]()
18
Description:
Desktops:
![]()
HP ProDesk G6 – 2 Nos – Intel Core i7
![]()
Lenovo Core i5-7500 – 1 No – 8GB DDR4 RAM, 1TB HDD, 21.5” LED Monitor
![]()
Interactive board: 1 No.![]()
UPS: 1 shared, 10KVA Online
PG Laboratory 3B
Area:
71 sq. mt.
Capacity:
![]()
18
Description:
Desktops:
![]()
HP 280 G3 MT – 2 Nos – Intel Core i3
![]()
HP ProDesk G6 – 1 No – Intel Core i7
![]()
Projector: Casio – 1 No.
Laboratory 4A
Area:
71 sq. mt.
Capacity:
![]()
20
Description:
Area:
71 sq. mt.
Capacity:
![]()
20
Description:
Desktops:
![]()
Desktops: Lenovo ThinkCentre Neo 50T Gen 3 – 20 Nos – Intel Core i7, 16GB RAM, 512GB SSD, 19.5” LCD
Visual Computing Lab
To support high-performance computing needs, the department has dedicated workstations designed for resource-intensive applications such as machine learning, deep learning, data analytics, computer vision and simulation-based research. These workstations are equipped with high-speed processors, dedicated GPUs, expanded RAM and SSD storage, ensuring optimal performance for computationally demanding tasks.
The availability of these high-end systems enables students and researchers to work on complex projects that require significant processing power. These workstations are strategically placed in the Visual Computing Lab to support sponsored research initiatives. Regular upgrades and maintenance ensure that the infrastructure remains aligned with emerging technological advancements.
Details of Workstations
| Sl. No. | Workstation Specifications | Processor | RAM | HDD |
| 1 | HP Workstation -1 | Core i7 | 32 GB | 500 GB |
| 2 | HP Workstation -2 | Core i9 | 64 GB | 1 TB |
| 3 | HP Workstation -3 | Core i9 | 64 GB | 2 TB |
The department has a dedicated Internet of Things (IoT) Lab to support hands-on learning, prototyping and research in IoT applications. The lab is equipped with Raspberry Pi kits, Arduino boards, sensors, actuators and other IoT development tools, enabling students and researchers to design, implement and test IoT-based solutions.
These resources facilitate practical experimentation in areas such as smart systems, automation, embedded computing and wireless sensor networks. The lab provides an ideal environment for students to develop real-world IoT applications, fostering innovation and interdisciplinary research. Regular updates and additions to the lab ensure that students have access to the latest technologies in the IoT domain.
Details of Hardware
Sl. No. | Equipment Name | Quantity |
1 | Raspberry Pi 4 | 05 |
2 | Raspberry Pi 4 | 05 |
3 | Arduino Mega 2560 R3 (05 no’s) | 05 |
4 | Arm 7 LPC2148 Microcontroller Kit | 06 |
5 | Arduino Mega 2560 R3 | 05 |
6 | Arduino Yun Board | 01 |
7 | Raspberry Pi 3 Board | 06 |
8 | Raspberry Pi Camera Module | 01 |
9 | Raspberry Pi 3 Model B | 05 |
10 | Raspberry Pi Kits (Model 2B) | 07 |
11 | IoT Kit and Accessories | 35 |
RV College of Engineering, RV Vidyanikethan Post, Mysuru Road, Bengaluru – 560 059
Dr. K.N. Subramanya
Principal
RV College of Engineering
+91-080-68188100 / 8111
principal@rvce.edu.in